Holdings: Tongue image analysis

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Main Authors:	Zhang, David 1949- (Author), Zhang, Hongzhi (Author), Zhang, Bob (Author)
Format:	Book
Language:	English
Published:	Singapore [Springer] 2017
Subjects:	Automated Tongue Image Segmentation Feature Extraction Hyperspectral Imaging Image Classification Color Calibration Image Processing Medical Biometrics Medical Image Segmentation Pattern Recognition Tongue Color Correction Tongue Image Acquisition Tongue Image Analysis Tongue Image Classification
Online Access:	http://www.springer.com/ Inhaltstext Inhaltsverzeichnis
Physical Description:	xv, 335 Seiten 60 Illustrationen 23.5 cm x 15.5 cm, 0 g
ISBN:	9789811021664 981102166X

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245	1	0	\|a Tongue image analysis \|c David Zhang, Hongzhi Zhang, Bob Zhang
264		1	\|a Singapore \|b [Springer] \|c 2017
300			\|a xv, 335 Seiten \|b 60 Illustrationen \|c 23.5 cm x 15.5 cm, 0 g
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653			\|a Automated Tongue Image Segmentation
653			\|a Feature Extraction
653			\|a Hyperspectral Imaging
653			\|a Image Classification Color Calibration
653			\|a Image Processing
653			\|a Medical Biometrics
653			\|a Medical Image Segmentation
653			\|a Pattern Recognition
653			\|a Tongue Color Correction
653			\|a Tongue Image Acquisition
653			\|a Tongue Image Analysis
653			\|a Tongue Image Classification
700	1		\|a Zhang, Hongzhi \|e Verfasser \|4 aut
700	1		\|a Zhang, Bob \|e Verfasser \|4 aut
710	2		\|a Springer Malaysia Representative Office \|0 (DE-588)1065365012 \|4 pbl
776	0	8	\|i Elektronische Reproduktion \|z 9789811021671
776	0	8	\|i Erscheint auch als \|a Zhang, David \|t Tongue Image Analysis \|b 1st edition 2017 \|d Singapore : Springer Singapore, 2017 \|n Online-Ausgabe \|z 978-981-10-2167-1
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Record in the Search Index

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adam_text	CONTENTS PART I BACKGROUND 1 INTRODUCTION TO TONGUE IMAGE ANALYSIS ............................................... 3 1.1 TONGUE INSPECTION FOR MEDICAL APPLICATIONS ............................... 3 1.2 COMPUTERIZED TONGUE DIAGNOSIS SYSTEM ...................................... 6 1.3 RESEARCH REVIEW ON TONGUE IMAGE ANALYSIS ............................... 7 1.3.1 TONGUE IMAGE ACQUISITION ............................................... 7 1.3.2 TONGUE IMAGE PREPROCESSING .......................................... 8 1.3.3 QUALITATIVE FEATURE EXTRACTION .......................................... 10 1.3.4 DIAGNOSTIC CLASSIFICATION ................................................... 11 1.4 ISSUES AND CHALLENGES ..................................................................... 11 1.4.1 INCONSISTENT IMAGE ACQUISITION ........................................ 12 1.4.2 INACCURATE COLOR CORRECTION ............................................. 13 1.4.3 SUBJECTIVE TONGUE COLOR EXTRACTION AND CLASSIFICATION .............................................................. 14 REFERENCES .................................................................................................... 14 2 TONGUE IMAGES ACQUISITION SYSTEM DESIGN .......................................... 19 2.1 INTRODUCTION ....................................................................................... 19 2.2 SYSTEM FRAMEWORK AND REQUIREMENT ANALYSIS .............................. 22 2.2.1 SYSTEM FRAMEWORK ............................................................ 23 2.2.2 REQUIREMENT ANALYSIS ........................................................ 24 2.3 OPTIMAL SYSTEM DESIGN ................................................................... 27 2.3.1 ILLUMINANT ............................................................................ 27 2.3.2 LIGHTING CONDITION ............................................................ 28 2.3.3 IMAGING CAMERA ................................................................. 30 2.3.4 COLOR CORRECTION ................................................................. 32 2.3.5 SYSTEM IMPLEMENTATION AND CALIBRATION ......................... 33 X CONTENTS 2.4 PERFORMANCE ANALYSIS ........................................................................ 35 2.4.1 ILLUMINATION UNIFORMITY .................................................... 36 2.4.2 SYSTEM CONSISTENCY .......................................................... 37 2.4.3 ACCURACY ............................................................................... 41 2.4.4 TYPICAL TONGUE IMAGES ...................................................... 41 2.5 SUMMARY ............................................................................................ 42 REFERENCES ..................................................................................................... 43 PART II TONGUE IMAGE SEGMENTATION AND SHAPE CLASSIFICATION 3 TONGUE IMAGE SEGMENTATION BY LI-ELLIPTICAL DEFORMABLE CONTOUR ......................................................................................................... 47 3.1 INTRODUCTION ........................................................................................ 47 3.2 LI-ELLIPTICAL DEFORMABLE TEMPLATE FOR THE TONGUE ...................... 50 3.2.1 DEFINITIONS AND NOTATIONS ................................................. 50 3.2.2 THE TONGUE TEMPLATE ........................................................ 51 3.2.3 ENERGY FUNCTION FOR THE TONGUE TEMPLATE .................... 52 3.3 COMBINED MODEL FOR TONGUE SEGMENTATION .................................. 55 3.3.1 TWO KINDS OF TEMPLATE FORCES ........................................ 56 3.3.2 LI-ELLIPTICAL DEFORMABLE CONTOURS .................................... 59 3.4 EXPERIMENT RESULTS AND ANALYSIS .................................................... 62 3.5 SUMMARY ............................................................................................ 69 REFERENCES ..................................................................................................... 69 4 A SNAKE-BASED APPROACH TO AUTOMATED TONGUE IMAGE SEGMENTATION ................................................................................................ 71 4.1 INTRODUCTION ....................................................................................... 71 4.2 AUTOMATED SEGMENTATION ALGORITHM FOR TONGUE IMAGES ........... 73 4.2.1 POLAR EDGE DETECTION OF TONGUE IMAGE ......................... 73 4.2.2 FILTERING AND BINARIZATION OF THE EDGE IMAGE ................ 75 4.2.3 INITIALIZATION AND ACM ...................................................... 76 4.2.4 SUMMARY OF THE AUTOMATED TONGUE SEGMENTATION METHOD ........................................................ 78 4.3 EXPERIMENTS AND DISCUSSION ............................................................. 80 4.3.1 EVALUATION ON THE EDGE FILTERING ALGORITHM ................... 80 4.3.2 QUALITATIVE EVALUATION ........................................................ 80 4.3.3 QUANTITATIVE EVALUATION ...................................................... 82 4.4 SUMMARY ............................................................................................ 87 REFERENCES ..................................................................................................... 87 5 TONGUE SEGMENTATION IN HYPERSPECTRAL IMAGES .................................. 89 5.1 INTRODUCTION ....................................................................................... 89 5.2 SETUP OF THE HYPERSPECTRAL DEVICE ................................................. 91 CONTENTS XI 5.3 SEGMENTATION FRAMEWORK ................................................................. 92 5.3.1 HYPERSPECTRAL IMAGE CALIBRATION ...................................... 93 5.3.2 SEGMENTATION ..................................................................... 94 5.4 EXPERIMENTS AND COMPARISONS ........................................................ 96 5.4.1 CRITERIA OF EVALUATION ........................................................ 98 5.4.2 COMPARISON WITH THE BEDC ............................................. 99 5.5 SUMMARY ............................................................................................ 101 REFERENCES .................................................................................................... 101 6 TONGUE SEGMENTATION BY GRADIENT VECTOR FLOW AND REGION MERGING ................................................................................... 103 6.1 INTRODUCTION ....................................................................................... 103 6.2 INITIAL SEGMENTATION .......................................................................... 104 6.3 EXTRACTION OF TONGUE AREA ............................................................... 106 6.3.1 SIMILARITY METRIC ................................................................. 106 6.3.2 THE EXTRACTION OF THE TONGUE BODY BY USING THE MRSM ALGORITHM ...................................... 107 6.4 EXPERIMENTAL RESULTS AND DISCUSSIONS .......................................... 108 6.4.1 EXPERIMENTAL RESULTS .......................................................... 108 6.4.2 QUALITATIVE EVALUATION ........................................................ 109 6.4.3 QUANTITATIVE EVALUATION ...................................................... 110 6.4.4 RUNNING TIME OF THE PROPOSED METHOD ......................... ILL 6.4.5 LIMITATIONS OF THE PROPOSED METHOD ................................ 112 6.5 SUMMARY ............................................................................................ 112 REFERENCES .................................................................................................... 113 7 TONGUE SEGMENTATION BY FUSING REGION-BASED AND EDGE-BASED APPROACHES ................................................................... 115 7.1 INTRODUCTION ....................................................................................... 115 7.2 EXTRACTION OF THE ROI TO ENHANCE ROBUSTNESS ............................. 117 7.3 COMBINING REGION-BASED AND EDGE-BASED APPROACHES ............. 120 7.3.1 REGION-BASED APPROACH: IMPROVED MSRM .................. 121 7.3.2 OPTIMAL EDGE-BASED APPROACH: FAST MARCHING ............. 123 7.3.3 THE FUSION APPROACH AS A SOLUTION ............................... 125 7.4 EXPERIMENTS AND COMPARISONS ........................................................ 127 7.4.1 QUALITATIVE EVALUATION ........................................................ 127 7.4.2 QUANTITATIVE EVALUATION ...................................................... 129 7.5 SUMMARY ........................................................................................... 130 REFERENCES .................................................................................................... 130 8 TONGUE SHAPE CLASSIFICATION BY GEOMETRIC FEATURES ......................... 133 8.1 INTRODUCTION ....................................................................................... 133 8.2 SHAPE CORRECTION .............................................................................. 134 XII CONTENTS 8.2.1 AUTOMATIC CONTOUR EXTRACTION ........................................... 135 8.2.2 THE LENGTH CRITERION ........................................................ 135 8.2.3 THE AREA CRITERION ............................................................. 136 8.2.4 THE ANGLE CRITERION .......................................................... 137 8.2.5 CORRECTION BY COMBINATION ............................................... 138 8.3 FEATURE EXTRACTION ............................................................................. 139 8.3.1 THE LENGTH-BASED FEATURE ............................................... 140 8.3.2 THE AREA-BASED FEATURE .................................................... 141 8.3.3 THE ANGLE-BASED FEATURE ................................................. 143 8.4 SHAPE CLASSIFICATION .......................................................................... 144 8.4.1 MODELING THE CLASSIFICATION AS A HIERARCHY .................... 144 8.4.2 CALCULATING RELATIVE WEIGHTS ........................................... 146 8.4.3 CALCULATING THE GLOBAL WEIGHTS ...................................... 147 8.4.4 FUZZY SHAPE CLASSIFICATION ............................................... 147 8.5 EXPERIMENTAL RESULTS AND PERFORMANCE ANALYSIS .......................... 148 8.5.1 ACCURACY OF SHAPE CORRECTION ........................................ 148 8.5.2 ACCURACY OF SHAPE CLASSIFICATION .................................... 149 8.6 SUMMARY ............................................................................................ 152 REFERENCES ..................................................................................................... 152 PART III TONGUE COLOR CORRECTION AND CLASSIFICATION 9 COLOR CORRECTION SCHEME FOR TONGUE IMAGES ...................................... 157 9.1 INTRODUCTION ........................................................................................ 157 9.2 COLOR SPACE FOR TONGUE ANALYSIS ................................................. 159 9.3 COLOR CORRECTION ALGORITHMS .......................................................... 161 9.3.1 DEFINITIONS OF ALGORITHMS ................................................. 162 9.3.2 EVALUATION OF THE CORRECTION ALGORITHMS ......................... 163 9.3.3 EXPERIMENTS AND RESULTS .................................................... 164 9.4 EXPERIMENTAL RESULTS AND PERFORMANCE ANALYSIS .......................... 169 9.4.1 COLOR CORRECTION BY DIFFERENT CAMERAS ........................... 170 9.4.2 COLOR CORRECTION UNDER DIFFERENT LIGHTING CONDITIONS ............................................................................ 171 9.4.3 PERFORMANCE ANALYSIS ........................................................ 173 9.4.4 CORRECTION ON REAL TONGUE IMAGES .................................. 174 9.5 SUMMARY ............................................................................................ 176 REFERENCES ..................................................................................................... 177 10 TONGUE COLORCHECKER FOR PRECISE CORRECTION ...................................... 179 10.1 INTRODUCTION ........................................................................................ 179 10.2 TONGUE COLOR SPACE .......................................................................... 181 10.3 DETERMINATION OF THE NUMBER OF COLORS ........................................ 183 CONTENTS XIII 10.3.1 SETTING FOR NUMBER DECIDING EXPERIMENT ...................... 184 10.3.2 RESULTS OF NUMBER DETERMINATION .................................... 187 10.4 OPTIMAL COLORS SELECTION ................................................................. 190 10.4.1 OBJECTIVE FUNCTION ............................................................ 190 10.4.2 SELECTION ALGORITHMS .......................................................... 192 10.5 EXPERIMENTAL RESULTS AND PERFORMANCE ANALYSIS .......................... 195 10.5.1 EXPERIMENTAL CONFIGURATION ............................................... 195 10.5.2 PARAMETER OPTIMIZATION ...................................................... 196 10.6 SUMMARY ........................................................................................... 204 REFERENCES .................................................................................................... 204 11 TONGUE COLOR ANALYSIS FOR MEDICAL APPLICATION ................................. 207 11.1 INTRODUCTION ....................................................................................... 207 11.2 TONGUE IMAGE ACQUISITION DEVICE AND DATASET ........................... 209 11.3 TONGUE COLOR GAMUT AND COLOR FEATURES EXTRACTION .................. 210 11.3.1 TONGUE COLOR GAMUT ........................................................ 210 11.3.2 TONGUE COLOR FEATURES ..................................................... 212 11.4 RESULTS AND DISCUSSION ..................................................................... 215 11.4.1 HEALTHY VERSUS DISEASE CLASSIFICATION ............................. 215 11.4.2 TYPICAL DISEASE ANALYSIS ................................................. 216 11.5 SUMMARY ........................................................................................... 222 REFERENCES .................................................................................................... 223 12 STATISTICAL ANALYSIS OF TONGUE COLOR AND ITS APPLICATIONS IN DIAGNOSIS .................................................................................................. 225 12.1 INTRODUCTION ....................................................................................... 225 12.2 TONGUE IMAGE ACQUISITION AND DATABASE ...................................... 227 12.2.1 TONGUE IMAGE ACQUISITION DEVICE ................................. 227 12.2.2 COLOR CORRECTION OF TONGUE IMAGES ............................... 228 12.2.3 TONGUE IMAGE DATABASE ................................................... 230 12.3 TONGUE COLOR DISTRIBUTION ANALYSIS ............................................... 231 12.3.1 TONGUE COLOR GAMUT: GENERATION AND MODELING ......... 231 12.3.2 TONGUE COLOR CENTERS ........................................................ 239 12.3.3 DISTRIBUTION OF TYPICAL IMAGE FEATURES ........................... 242 12.4 COLOR FEATURE EXTRACTION ................................................................. 244 12.4.1 TONGUE COLOR FEATURE VECTOR .......................................... 245 12.4.2 TYPICAL SAMPLES OF TONGUE COLOR REPRESENTATION .... 245 12.5 SUMMARY ........................................................................................... 248 REFERENCES .................................................................................................... 248 13 HYPERSPECTRAL TONGUE IMAGE CLASSIFICATION ........................................ 251 13.1 INTRODUCTION ....................................................................................... 251 13.2 HYPERPECTRAL IMAGES FOR TONGUE DIAGNOSIS ................................. 253 XIV CONTENTS 13.3 THE CLASSIFIER APPLIED TO HYPERSPECTRAL TONGUE IMAGES ........... 254 13.3.1 LINEAR SVM: LINEARLY SEPARABLE ...................................... 254 13.3.2 LINEAR SVM: LINEARLY NON-SEPARABLE ............................. 255 13.3.3 NON-LINEAR SVM ................................................................. 256 13.4 EXPERIMENTAL RESULTS AND PERFORMANCE ANALYSIS ......................... 257 13.4.1 COMPARING LINEAR AND NON-LINEAR SVM, RBFNN, AND K-NN CLASSIFIERS ........................................ 257 13.4.2 EVALUATING THE DIAGNOSTIC PERFORMANCE OF SVM ........... 258 13.5 SUMMARY ............................................................................................ 260 REFERENCES ..................................................................................................... 261 PART IV TONGUE IMAGE ANALYSIS AND DIAGNOSIS 14 COMPUTERIZED TONGUE DIAGNOSIS BASED ON BAYESIAN NETWORKS ....................................................................................................... 265 14.1 INTRODUCTION ........................................................................................ 265 14.2 TONGUE DIAGNOSIS USING BAYESIAN NETWORKS ................................ 266 14.3 QUANTITATIVE PATHOLOGICAL FEATURES EXTRACTION ................................ 269 14.3.1 QUANTITATIVE COLOR FEATURES ............................................... 269 14.3.2 QUANTITATIVE TEXTURE FEATURES ........................................... 270 14.4 EXPERIMENTAL RESULTS ........................................................................ 272 14.4.1 SEVERAL ISSUES ...................................................................... 273 14.4.2 BAYESIAN NETWORK CLASSIFIER BASED ON TEXTURAL FEATURES ............................................................................... 274 14.4.3 BAYESIAN NETWORK CLASSIFIER BASED ON CHROMATIC FEATURES ............................................................................... 275 14.4.4 BAYESIAN NETWORK CLASSIFIER BASED ON COMBINED FEATURES ...................................................... 276 14.5 SUMMARY ............................................................................................ 279 REFERENCES ..................................................................................................... 279 15 TONGUE IMAGE ANALYSIS FOR APPENDICITIS DIAGNOSIS ........................... 281 15.1 INTRODUCTION ........................................................................................ 281 15.2 CHROMATIC AND TEXTURAL FEATURES FOR TONGUE DIAGNOSIS ............... 282 15.2.1 THE IMAGE OF THE TONGUE OF A PATIENT WITH APPENDICITIS ........................................................................ 282 15.2.2 QUANTITATIVE FEATURES OF THE COLOR OF THE TONGUE ......... 283 15.2.3 QUANTITATIVE FEATURES OF THE TEXTURE OF THE TONGUE ...................................................................... 283 15.3 IDENTIFICATION OF FILIFORM PAPILLAE .................................................... 284 15.3.1 TYPICAL FIGURES AND STATISTICS OF FILIFORM PAPILLAE .... 284 15.3.2 FILTER FOR FILIFORM PAPILLAE ............................................... 286 CONTENTS XV 15.4 EXPERIMENTAL RESULTS AND ANALYSIS ............................................... 287 15.4.1 EVALUATION BASIS FOR DIAGNOSIS ........................................ 288 15.4.2 PERFORMANCE OF METRICS FOR COLOR .................................... 288 15.4.3 PERFORMANCE OF TEXTURAL METRICS ...................................... 290 15.4.4 PERFORMANCE OF THE EPF ................................................... 291 15.5 SUMMARY ........................................................................................... 293 REFERENCES .................................................................................................... 293 16 DIAGNOSIS USING QUANTITATIVE TONGUE FEATURE CLASSIFICATION ........... 295 16.1 INTRODUCTION ....................................................................................... 295 16.2 TONGUE IMAGE SAMPLES ................................................................... 296 16.3 QUANTITATIVE CHROMATIC AND TEXTURAL MEASUREMENTS .................... 296 16.4 FEATURE SELECTION .............................................................................. 298 16.5 RESULTS AND ANALYSIS ....................................................................... 298 16.6 SUMMARY ........................................................................................... 299 REFERENCES .................................................................................................... 301 17 DETECTING DIABETES MELLITUS AND NONPROLIFERATIVE DIABETIC RETINOPATHY USING CTD ............................................................ 303 17.1 INTRODUCTION ....................................................................................... 303 17.2 CAPTURE DEVICE AND TONGUE IMAGE PREPROCESSING ...................... 305 17.3 TONGUE COLOR FEATURES ..................................................................... 306 17.3.1 TONGUE COLOR GAMUT ........................................................ 306 17.3.2 COLOR FEATURE EXTRACTION ................................................... 307 17.4 TONGUE TEXTURE FEATURES ................................................................. 311 17.5 TONGUE GEOMETRIC FEATURES ............................................................ 313 17.6 NUMERICAL RESULTS AND DISCUSSION ................................................. 317 17.6.1 HEALTHY VERSUS DM CLASSIFICATION ................................. 317 17.6.2 NPDR VERSUS DM-SANS NPDR CLASSIFICATION ............. 321 17.7 SUMMARY ........................................................................................... 323 REFERENCES .................................................................................................... 324 PART V BOOK RECAPITULATION 18 BOOK REVIEW AND FUTURE WORK .............................................................. 329 18.1 BOOK RECAPITULATION ......................................................................... 329 18.2 FUTURE WORK ....................................................................................... 330 INDEX ...................................................................................................................... 333
any_adam_object	1
author	Zhang, David 1949- Zhang, Hongzhi Zhang, Bob
author_GND	(DE-588)12099190X
author_facet	Zhang, David 1949- Zhang, Hongzhi Zhang, Bob
author_role	aut aut aut
author_sort	Zhang, David 1949-
author_variant	d z dz h z hz b z bz
building	Verbundindex
bvnumber	BV045428251
classification_tum	MED 372f DAT 760f
ctrlnum	(OCoLC)1083993064 (DE-599)DNB1104510081
discipline	Medizintechnik Informatik Medizin
format	Book
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id	DE-604.BV045428251
illustrated	Illustrated
indexdate	2024-07-10T08:17:53Z
institution	BVB
institution_GND	(DE-588)1065365012
isbn	9789811021664 981102166X
language	English
oai_aleph_id	oai:aleph.bib-bvb.de:BVB01-030813986
oclc_num	1083993064
open_access_boolean
owner	DE-91G DE-BY-TUM
owner_facet	DE-91G DE-BY-TUM
physical	xv, 335 Seiten 60 Illustrationen 23.5 cm x 15.5 cm, 0 g
publishDate	2017
publishDateSearch	2017
publishDateSort	2017
publisher	[Springer]
record_format	marc
spelling	Zhang, David 1949- Verfasser (DE-588)12099190X aut Tongue image analysis David Zhang, Hongzhi Zhang, Bob Zhang Singapore [Springer] 2017 xv, 335 Seiten 60 Illustrationen 23.5 cm x 15.5 cm, 0 g txt rdacontent n rdamedia nc rdacarrier Automated Tongue Image Segmentation Feature Extraction Hyperspectral Imaging Image Classification Color Calibration Image Processing Medical Biometrics Medical Image Segmentation Pattern Recognition Tongue Color Correction Tongue Image Acquisition Tongue Image Analysis Tongue Image Classification Zhang, Hongzhi Verfasser aut Zhang, Bob Verfasser aut Springer Malaysia Representative Office (DE-588)1065365012 pbl Elektronische Reproduktion 9789811021671 Erscheint auch als Zhang, David Tongue Image Analysis 1st edition 2017 Singapore : Springer Singapore, 2017 Online-Ausgabe 978-981-10-2167-1 http://www.springer.com/ Verlag X:MVB text/html http://deposit.dnb.de/cgi-bin/dokserv?id=5c7613b377254df98ffd195cc1632c16&prov=M&dok_var=1&dok_ext=htm Inhaltstext DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030813986&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis
spellingShingle	Zhang, David 1949- Zhang, Hongzhi Zhang, Bob Tongue image analysis
title	Tongue image analysis
title_auth	Tongue image analysis
title_exact_search	Tongue image analysis
title_full	Tongue image analysis David Zhang, Hongzhi Zhang, Bob Zhang
title_fullStr	Tongue image analysis David Zhang, Hongzhi Zhang, Bob Zhang
title_full_unstemmed	Tongue image analysis David Zhang, Hongzhi Zhang, Bob Zhang
title_short	Tongue image analysis
title_sort	tongue image analysis
url	http://www.springer.com/ http://deposit.dnb.de/cgi-bin/dokserv?id=5c7613b377254df98ffd195cc1632c16&prov=M&dok_var=1&dok_ext=htm http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=030813986&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
work_keys_str_mv	AT zhangdavid tongueimageanalysis AT zhanghongzhi tongueimageanalysis AT zhangbob tongueimageanalysis AT springermalaysiarepresentativeoffice tongueimageanalysis

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