AI innovation in medical imaging diagnostics:
"This book examines the application of artificial intelligence in medical imaging diagnostics"--
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) :
IGI Global,
[2020]
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "This book examines the application of artificial intelligence in medical imaging diagnostics"-- |
| Beschreibung: | 19 PDFs (248 pages) Also available in print. |
| Format: | Mode of access: World Wide Web. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781799830931 |
| Zugangseinschränkungen: | Restricted to subscribers or individual electronic text purchasers. |
Internformat
MARC
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| 024 | 7 | |a 10.4018/978-1-7998-3092-4 |2 doi | |
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| 245 | 0 | 0 | |a AI innovation in medical imaging diagnostics |c Kalaivani Anbarasan, editor. |
| 246 | 3 | |a Artificial intelligence in medical imaging diagnostics | |
| 264 | 1 | |a Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : |b IGI Global, |c [2020] | |
| 300 | |a 19 PDFs (248 pages) | ||
| 336 | |a text |2 rdacontent | ||
| 337 | |a electronic |2 isbdmedia | ||
| 338 | |a online resource |2 rdacarrier | ||
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Chapter 1. Detection of ocular pathologies from iris images using blind de-convolution and fuzzy c-means clustering: detection of ocular pathologies -- Chapter 2. Machine learning in healthcare -- Chapter 3. Detection of tumor from brain MRI images using supervised and unsupervised methods -- Chapter 4. Breast cancer diagnosis in mammograms using wavelet analysis, haralick descriptors, and autoencoder -- Chapter 5. Feature selection using random forest algorithm to diagnose tuberculosis from lung CT images -- Chapter 6. An ensemble feature subset selection for women breast cancer classification -- Chapter 7. A content-based approach to medical image retrieval -- Chapter 8. Correlation and analysis of overlapping leukocytes in blood cell images using intracellular markers and colocalization operation -- Chapter 9. Enchodroma tumor detection from MRI images using SVM classifier -- Chapter 10. An approach to cloud computing for medical image analysis -- Chapter 11. Segmentation of spine tumour using k-means and active contour and feature extraction using GLCM -- Chapter 12. A survey on early detection of women's breast cancer using IoT. | |
| 506 | |a Restricted to subscribers or individual electronic text purchasers. | ||
| 520 | 3 | |a "This book examines the application of artificial intelligence in medical imaging diagnostics"-- |c Provided by publisher. | |
| 530 | |a Also available in print. | ||
| 538 | |a Mode of access: World Wide Web. | ||
| 588 | |a Description based on title screen (IGI Global, viewed 02/11/2021). | ||
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Diagnostic imaging. | |
| 650 | 1 | 2 | |a Artificial Intelligence. |
| 650 | 1 | 2 | |a Diagnostic Imaging |x methods. |
| 650 | 2 | 2 | |a Deep Learning. |
| 650 | 2 | 2 | |a Machine Learning. |
| 700 | 1 | |a Anbarasan, Kalaivani |d 1975- |e editor. | |
| 710 | 2 | |a IGI Global, |e publisher. | |
| 776 | 0 | |c (Original) |w (DLC)2019049196 | |
| 776 | 0 | 8 | |i Print version: |z 1799830926 |z 9781799830924 |w (DLC) 2019049196 |
| 856 | 4 | 0 | |l FWS01 |p ZDB-98-IGB |q FWS_PDA_IGB |u http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3092-4 |3 Volltext |
| 912 | |a ZDB-98-IGB | ||
| 049 | |a DE-863 | ||
Datensatz im Suchindex
| DE-BY-FWS_katkey | ZDB-98-IGB-00240151 |
|---|---|
| _version_ | 1816797083502379008 |
| adam_text | |
| any_adam_object | |
| author2 | Anbarasan, Kalaivani 1975- |
| author2_role | edt |
| author2_variant | k a ka |
| author_facet | Anbarasan, Kalaivani 1975- |
| building | Verbundindex |
| bvnumber | localFWS |
| callnumber-first | R - Medicine |
| callnumber-label | RC78 |
| callnumber-raw | RC78.7.D53 A35 2020e |
| callnumber-search | RC78.7.D53 A35 2020e |
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| collection | ZDB-98-IGB |
| contents | Chapter 1. Detection of ocular pathologies from iris images using blind de-convolution and fuzzy c-means clustering: detection of ocular pathologies -- Chapter 2. Machine learning in healthcare -- Chapter 3. Detection of tumor from brain MRI images using supervised and unsupervised methods -- Chapter 4. Breast cancer diagnosis in mammograms using wavelet analysis, haralick descriptors, and autoencoder -- Chapter 5. Feature selection using random forest algorithm to diagnose tuberculosis from lung CT images -- Chapter 6. An ensemble feature subset selection for women breast cancer classification -- Chapter 7. A content-based approach to medical image retrieval -- Chapter 8. Correlation and analysis of overlapping leukocytes in blood cell images using intracellular markers and colocalization operation -- Chapter 9. Enchodroma tumor detection from MRI images using SVM classifier -- Chapter 10. An approach to cloud computing for medical image analysis -- Chapter 11. Segmentation of spine tumour using k-means and active contour and feature extraction using GLCM -- Chapter 12. A survey on early detection of women's breast cancer using IoT. |
| ctrlnum | (CaBNVSL)slc00001087 (OCoLC)1237530871 |
| dewey-full | 616.07/54 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 616 - Diseases |
| dewey-raw | 616.07/54 |
| dewey-search | 616.07/54 |
| dewey-sort | 3616.07 254 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
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| id | ZDB-98-IGB-00240151 |
| illustrated | Not Illustrated |
| indexdate | 2024-11-26T14:51:56Z |
| institution | BVB |
| isbn | 9781799830931 |
| language | English |
| oclc_num | 1237530871 |
| open_access_boolean | |
| owner | DE-863 DE-BY-FWS |
| owner_facet | DE-863 DE-BY-FWS |
| physical | 19 PDFs (248 pages) Also available in print. |
| psigel | ZDB-98-IGB |
| publishDate | 2020 |
| publishDateSearch | 2020 |
| publishDateSort | 2020 |
| publisher | IGI Global, |
| record_format | marc |
| spelling | AI innovation in medical imaging diagnostics Kalaivani Anbarasan, editor. Artificial intelligence in medical imaging diagnostics Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : IGI Global, [2020] 19 PDFs (248 pages) text rdacontent electronic isbdmedia online resource rdacarrier Includes bibliographical references and index. Chapter 1. Detection of ocular pathologies from iris images using blind de-convolution and fuzzy c-means clustering: detection of ocular pathologies -- Chapter 2. Machine learning in healthcare -- Chapter 3. Detection of tumor from brain MRI images using supervised and unsupervised methods -- Chapter 4. Breast cancer diagnosis in mammograms using wavelet analysis, haralick descriptors, and autoencoder -- Chapter 5. Feature selection using random forest algorithm to diagnose tuberculosis from lung CT images -- Chapter 6. An ensemble feature subset selection for women breast cancer classification -- Chapter 7. A content-based approach to medical image retrieval -- Chapter 8. Correlation and analysis of overlapping leukocytes in blood cell images using intracellular markers and colocalization operation -- Chapter 9. Enchodroma tumor detection from MRI images using SVM classifier -- Chapter 10. An approach to cloud computing for medical image analysis -- Chapter 11. Segmentation of spine tumour using k-means and active contour and feature extraction using GLCM -- Chapter 12. A survey on early detection of women's breast cancer using IoT. Restricted to subscribers or individual electronic text purchasers. "This book examines the application of artificial intelligence in medical imaging diagnostics"-- Provided by publisher. Also available in print. Mode of access: World Wide Web. Description based on title screen (IGI Global, viewed 02/11/2021). Artificial intelligence. Diagnostic imaging. Artificial Intelligence. Diagnostic Imaging methods. Deep Learning. Machine Learning. Anbarasan, Kalaivani 1975- editor. IGI Global, publisher. (Original) (DLC)2019049196 Print version: 1799830926 9781799830924 (DLC) 2019049196 FWS01 ZDB-98-IGB FWS_PDA_IGB http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3092-4 Volltext |
| spellingShingle | AI innovation in medical imaging diagnostics Chapter 1. Detection of ocular pathologies from iris images using blind de-convolution and fuzzy c-means clustering: detection of ocular pathologies -- Chapter 2. Machine learning in healthcare -- Chapter 3. Detection of tumor from brain MRI images using supervised and unsupervised methods -- Chapter 4. Breast cancer diagnosis in mammograms using wavelet analysis, haralick descriptors, and autoencoder -- Chapter 5. Feature selection using random forest algorithm to diagnose tuberculosis from lung CT images -- Chapter 6. An ensemble feature subset selection for women breast cancer classification -- Chapter 7. A content-based approach to medical image retrieval -- Chapter 8. Correlation and analysis of overlapping leukocytes in blood cell images using intracellular markers and colocalization operation -- Chapter 9. Enchodroma tumor detection from MRI images using SVM classifier -- Chapter 10. An approach to cloud computing for medical image analysis -- Chapter 11. Segmentation of spine tumour using k-means and active contour and feature extraction using GLCM -- Chapter 12. A survey on early detection of women's breast cancer using IoT. Artificial intelligence. Diagnostic imaging. Artificial Intelligence. Diagnostic Imaging methods. Deep Learning. Machine Learning. |
| title | AI innovation in medical imaging diagnostics |
| title_alt | Artificial intelligence in medical imaging diagnostics |
| title_auth | AI innovation in medical imaging diagnostics |
| title_exact_search | AI innovation in medical imaging diagnostics |
| title_full | AI innovation in medical imaging diagnostics Kalaivani Anbarasan, editor. |
| title_fullStr | AI innovation in medical imaging diagnostics Kalaivani Anbarasan, editor. |
| title_full_unstemmed | AI innovation in medical imaging diagnostics Kalaivani Anbarasan, editor. |
| title_short | AI innovation in medical imaging diagnostics |
| title_sort | ai innovation in medical imaging diagnostics |
| topic | Artificial intelligence. Diagnostic imaging. Artificial Intelligence. Diagnostic Imaging methods. Deep Learning. Machine Learning. |
| topic_facet | Artificial intelligence. Diagnostic imaging. Artificial Intelligence. Diagnostic Imaging methods. Deep Learning. Machine Learning. |
| url | http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-3092-4 |
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