Computer vision in medical imaging /:
The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provi...
Gespeichert in:
| Weitere Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Hackensack, NJ :
World Scientific,
2013.
|
| Schriftenreihe: | Series in computer vision ;
v. 2. |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs. |
| Beschreibung: | 1 online resource (412 pages) : illustrations (some color) |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9789814460941 981446094X |
Internformat
MARC
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| 245 | 0 | 0 | |a Computer vision in medical imaging / |c editor, C.H. Chen. |
| 264 | 1 | |a Hackensack, NJ : |b World Scientific, |c 2013. | |
| 300 | |a 1 online resource (412 pages) : |b illustrations (some color) | ||
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| 490 | 1 | |a Series in computer vision ; |v vol. 2 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a An introduction to computer vision in medical imaging / Chi Hau Chen -- Theory and methodologies -- Distribution matching approaches to medical image segmentation / Ismail Ben Ayed -- Digital pathology in medical imaging / Bikash Sabata, Chukka Srinivas, Pascal Bamford and Gerardo Fernandez -- Adaptive shape prior modeling via online dictionary learning / Shaoting Zhang, Yiqiang Zhan, Yan Zhou and Dimitris Metaxas -- Feature-centric lesion detection and retrieval in thoracic images / Yang Song, Weidong Cai, Stefan Eberl, Michael J Fulham and David Dagan Feng -- A novel paradigm for quantitation from MR phase / Joseph Dagher -- A multi-resolution active contour framework for ultrasound image segmentation / Weiming Wang, Jing Qin, Pheng-Ann Heng, Yim-Pan Chui, Liang Li and Bing Nan Li -- 2-D, 3-D reconstructions/imaging algorithms, systems & sensor fusion -- Model-based image reconstruction in optoacoustic tomography / Amir Rosenthal, Daniel Razansky and Vasilis Ntziachristos -- The fusion of three-dimensional quantitative coronary angiography and intracoronary imaging for coronary interventions / Shengxian Tu, Niels R. Holm, Johannes P. Janssen and Johan H.C. Reiber -- Three-dimensional reconstruction methods in near-field coded aperture for SPECT imaging system / Stephen Baoming Hong -- Ultrasound volume reconstruction based on direct frame interpolation / Sergei Koptenko, Rachel Remlinger, Martin Lachaine, Tony Falco and Ulrich Scheipers -- Deconvolution technique for enhancing and classifying the retinal images / Uvais A. Qidwai and Umair A. Qidwai -- Medical ultrasound digital signal processing in the GPU computing / Era Marcin Lewandowski -- Developing medical image processing algorithms for GPU assisted parallel computation / Mathias Broxvall and Marios Daoutis -- Specific image processing and computer vision methods for different imaging modalities including IVUS, MRI, etc -- Computer vision in interventional cardiology / Kendall R. Waters -- Pattern classification of brain diffusion mri: application to schizophrenia diagnosis / Ali Tabesh, Matthew J. Hoptman, Debra DAngelo and Babak A. Ardekani -- On compressed sensing reconstruction for magnetic resonance imaging / Benjamin Paul Berman, Sagar Mandava and Ali Bilgin -- On hierarchical statistical shape models with application to brain MRI / Juan J. Cerrolaza, Arantxa Villanueva and Rafael Cabeza -- Advanced PDE-based methods for automatic quantification of cardiac function and scar from magnetic resonance imaging / Durco Turco and Cristiana Corsi -- Automated IVUS segmentation using deformabletemplate model with feature tracking / Prakash Manandhar and Chi Hau Chen. | |
| 588 | 0 | |a Online resource; title from resource home page (ebrary, viewed on April 28, 2014). | |
| 520 | |a The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs. | ||
| 650 | 0 | |a Diagnostic imaging |x Data processing. | |
| 650 | 0 | |a Computer vision in medicine. |0 http://id.loc.gov/authorities/subjects/sh95001351 | |
| 650 | 0 | |a Artificial intelligence. |0 http://id.loc.gov/authorities/subjects/sh85008180 | |
| 650 | 1 | 2 | |a Diagnostic Imaging |x methods |
| 650 | 1 | 2 | |a Image Interpretation, Computer-Assisted |x methods |
| 650 | 2 | 2 | |a Artificial Intelligence |
| 650 | 6 | |a Imagerie pour le diagnostic |x Informatique. | |
| 650 | 6 | |a Vision par ordinateur en médecine. | |
| 650 | 6 | |a Intelligence artificielle. | |
| 650 | 7 | |a artificial intelligence. |2 aat | |
| 650 | 7 | |a HEALTH & FITNESS |x Diseases |x General. |2 bisacsh | |
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| 700 | 1 | |a Chen, C. H. |q (Chi-hau), |d 1937- |e editor. |1 https://id.oclc.org/worldcat/entity/E39PCjGMPtp79fDjRp7yVkghBK |0 http://id.loc.gov/authorities/names/n79058983 | |
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| 776 | 0 | 8 | |i Print version: |t Computer vision in medical imaging. |d New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Taipei ; Chennai : World Scientific, [2014] |z 9789814460934 |w (OCoLC)828769104 |
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Datensatz im Suchindex
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| callnumber-search | RC78.7.D53 |
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| contents | An introduction to computer vision in medical imaging / Chi Hau Chen -- Theory and methodologies -- Distribution matching approaches to medical image segmentation / Ismail Ben Ayed -- Digital pathology in medical imaging / Bikash Sabata, Chukka Srinivas, Pascal Bamford and Gerardo Fernandez -- Adaptive shape prior modeling via online dictionary learning / Shaoting Zhang, Yiqiang Zhan, Yan Zhou and Dimitris Metaxas -- Feature-centric lesion detection and retrieval in thoracic images / Yang Song, Weidong Cai, Stefan Eberl, Michael J Fulham and David Dagan Feng -- A novel paradigm for quantitation from MR phase / Joseph Dagher -- A multi-resolution active contour framework for ultrasound image segmentation / Weiming Wang, Jing Qin, Pheng-Ann Heng, Yim-Pan Chui, Liang Li and Bing Nan Li -- 2-D, 3-D reconstructions/imaging algorithms, systems & sensor fusion -- Model-based image reconstruction in optoacoustic tomography / Amir Rosenthal, Daniel Razansky and Vasilis Ntziachristos -- The fusion of three-dimensional quantitative coronary angiography and intracoronary imaging for coronary interventions / Shengxian Tu, Niels R. Holm, Johannes P. Janssen and Johan H.C. Reiber -- Three-dimensional reconstruction methods in near-field coded aperture for SPECT imaging system / Stephen Baoming Hong -- Ultrasound volume reconstruction based on direct frame interpolation / Sergei Koptenko, Rachel Remlinger, Martin Lachaine, Tony Falco and Ulrich Scheipers -- Deconvolution technique for enhancing and classifying the retinal images / Uvais A. Qidwai and Umair A. Qidwai -- Medical ultrasound digital signal processing in the GPU computing / Era Marcin Lewandowski -- Developing medical image processing algorithms for GPU assisted parallel computation / Mathias Broxvall and Marios Daoutis -- Specific image processing and computer vision methods for different imaging modalities including IVUS, MRI, etc -- Computer vision in interventional cardiology / Kendall R. Waters -- Pattern classification of brain diffusion mri: application to schizophrenia diagnosis / Ali Tabesh, Matthew J. Hoptman, Debra DAngelo and Babak A. Ardekani -- On compressed sensing reconstruction for magnetic resonance imaging / Benjamin Paul Berman, Sagar Mandava and Ali Bilgin -- On hierarchical statistical shape models with application to brain MRI / Juan J. Cerrolaza, Arantxa Villanueva and Rafael Cabeza -- Advanced PDE-based methods for automatic quantification of cardiac function and scar from magnetic resonance imaging / Durco Turco and Cristiana Corsi -- Automated IVUS segmentation using deformabletemplate model with feature tracking / Prakash Manandhar and Chi Hau Chen. |
| ctrlnum | (OCoLC)869185359 |
| dewey-full | 616/.0754/0285637 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 616 - Diseases |
| dewey-raw | 616/.0754/0285637 |
| dewey-search | 616/.0754/0285637 |
| dewey-sort | 3616 3754 6285637 |
| dewey-tens | 610 - Medicine and health |
| discipline | Medizin |
| format | Electronic eBook |
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| genre | Internet Resources. |
| genre_facet | Internet Resources. |
| id | ZDB-4-EBA-ocn869185359 |
| illustrated | Illustrated |
| indexdate | 2024-11-27T13:25:46Z |
| institution | BVB |
| isbn | 9789814460941 981446094X |
| language | English |
| oclc_num | 869185359 |
| open_access_boolean | |
| owner | MAIN DE-863 DE-BY-FWS |
| owner_facet | MAIN DE-863 DE-BY-FWS |
| physical | 1 online resource (412 pages) : illustrations (some color) |
| psigel | ZDB-4-EBA |
| publishDate | 2013 |
| publishDateSearch | 2013 |
| publishDateSort | 2013 |
| publisher | World Scientific, |
| record_format | marc |
| series | Series in computer vision ; |
| series2 | Series in computer vision ; |
| spelling | Computer vision in medical imaging / editor, C.H. Chen. Hackensack, NJ : World Scientific, 2013. 1 online resource (412 pages) : illustrations (some color) text txt rdacontent computer c rdamedia online resource cr rdacarrier Series in computer vision ; vol. 2 Includes bibliographical references and index. An introduction to computer vision in medical imaging / Chi Hau Chen -- Theory and methodologies -- Distribution matching approaches to medical image segmentation / Ismail Ben Ayed -- Digital pathology in medical imaging / Bikash Sabata, Chukka Srinivas, Pascal Bamford and Gerardo Fernandez -- Adaptive shape prior modeling via online dictionary learning / Shaoting Zhang, Yiqiang Zhan, Yan Zhou and Dimitris Metaxas -- Feature-centric lesion detection and retrieval in thoracic images / Yang Song, Weidong Cai, Stefan Eberl, Michael J Fulham and David Dagan Feng -- A novel paradigm for quantitation from MR phase / Joseph Dagher -- A multi-resolution active contour framework for ultrasound image segmentation / Weiming Wang, Jing Qin, Pheng-Ann Heng, Yim-Pan Chui, Liang Li and Bing Nan Li -- 2-D, 3-D reconstructions/imaging algorithms, systems & sensor fusion -- Model-based image reconstruction in optoacoustic tomography / Amir Rosenthal, Daniel Razansky and Vasilis Ntziachristos -- The fusion of three-dimensional quantitative coronary angiography and intracoronary imaging for coronary interventions / Shengxian Tu, Niels R. Holm, Johannes P. Janssen and Johan H.C. Reiber -- Three-dimensional reconstruction methods in near-field coded aperture for SPECT imaging system / Stephen Baoming Hong -- Ultrasound volume reconstruction based on direct frame interpolation / Sergei Koptenko, Rachel Remlinger, Martin Lachaine, Tony Falco and Ulrich Scheipers -- Deconvolution technique for enhancing and classifying the retinal images / Uvais A. Qidwai and Umair A. Qidwai -- Medical ultrasound digital signal processing in the GPU computing / Era Marcin Lewandowski -- Developing medical image processing algorithms for GPU assisted parallel computation / Mathias Broxvall and Marios Daoutis -- Specific image processing and computer vision methods for different imaging modalities including IVUS, MRI, etc -- Computer vision in interventional cardiology / Kendall R. Waters -- Pattern classification of brain diffusion mri: application to schizophrenia diagnosis / Ali Tabesh, Matthew J. Hoptman, Debra DAngelo and Babak A. Ardekani -- On compressed sensing reconstruction for magnetic resonance imaging / Benjamin Paul Berman, Sagar Mandava and Ali Bilgin -- On hierarchical statistical shape models with application to brain MRI / Juan J. Cerrolaza, Arantxa Villanueva and Rafael Cabeza -- Advanced PDE-based methods for automatic quantification of cardiac function and scar from magnetic resonance imaging / Durco Turco and Cristiana Corsi -- Automated IVUS segmentation using deformabletemplate model with feature tracking / Prakash Manandhar and Chi Hau Chen. Online resource; title from resource home page (ebrary, viewed on April 28, 2014). The major progress in computer vision allows us to make extensive use of medical imaging data to provide us better diagnosis, treatment and predication of diseases. Computer vision can exploit texture, shape, contour and prior knowledge along with contextual information from image sequence and provide 3D and 4D information that helps with better human understanding. Many powerful tools have been available through image segmentation, machine learning, pattern classification, tracking, reconstruction to bring much needed quantitative information not easily available by trained human specialists. The aim of the book is for both medical imaging professionals to acquire and interpret the data, and computer vision professionals to provide enhanced medical information by using computer vision techniques. The final objective is to benefit the patients without adding to the already high medical costs. Diagnostic imaging Data processing. Computer vision in medicine. http://id.loc.gov/authorities/subjects/sh95001351 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Diagnostic Imaging methods Image Interpretation, Computer-Assisted methods Artificial Intelligence Imagerie pour le diagnostic Informatique. Vision par ordinateur en médecine. Intelligence artificielle. artificial intelligence. aat HEALTH & FITNESS Diseases General. bisacsh MEDICAL Clinical Medicine. bisacsh MEDICAL Diseases. bisacsh MEDICAL Evidence-Based Medicine. bisacsh MEDICAL Internal Medicine. bisacsh Artificial intelligence fast Computer vision in medicine fast Diagnostic imaging Data processing fast Internet Resources. Chen, C. H. (Chi-hau), 1937- editor. https://id.oclc.org/worldcat/entity/E39PCjGMPtp79fDjRp7yVkghBK http://id.loc.gov/authorities/names/n79058983 has work: Computer vision in medical imaging (Text) https://id.oclc.org/worldcat/entity/E39PCGTQ8PDKmthjxFrHfJhXMP https://id.oclc.org/worldcat/ontology/hasWork Print version: Computer vision in medical imaging. New Jersey ; London ; Singapore ; Beijing ; Shanghai ; Hong Kong ; Taipei ; Chennai : World Scientific, [2014] 9789814460934 (OCoLC)828769104 Series in computer vision ; v. 2. http://id.loc.gov/authorities/names/no2012050418 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=670628 Volltext |
| spellingShingle | Computer vision in medical imaging / Series in computer vision ; An introduction to computer vision in medical imaging / Chi Hau Chen -- Theory and methodologies -- Distribution matching approaches to medical image segmentation / Ismail Ben Ayed -- Digital pathology in medical imaging / Bikash Sabata, Chukka Srinivas, Pascal Bamford and Gerardo Fernandez -- Adaptive shape prior modeling via online dictionary learning / Shaoting Zhang, Yiqiang Zhan, Yan Zhou and Dimitris Metaxas -- Feature-centric lesion detection and retrieval in thoracic images / Yang Song, Weidong Cai, Stefan Eberl, Michael J Fulham and David Dagan Feng -- A novel paradigm for quantitation from MR phase / Joseph Dagher -- A multi-resolution active contour framework for ultrasound image segmentation / Weiming Wang, Jing Qin, Pheng-Ann Heng, Yim-Pan Chui, Liang Li and Bing Nan Li -- 2-D, 3-D reconstructions/imaging algorithms, systems & sensor fusion -- Model-based image reconstruction in optoacoustic tomography / Amir Rosenthal, Daniel Razansky and Vasilis Ntziachristos -- The fusion of three-dimensional quantitative coronary angiography and intracoronary imaging for coronary interventions / Shengxian Tu, Niels R. Holm, Johannes P. Janssen and Johan H.C. Reiber -- Three-dimensional reconstruction methods in near-field coded aperture for SPECT imaging system / Stephen Baoming Hong -- Ultrasound volume reconstruction based on direct frame interpolation / Sergei Koptenko, Rachel Remlinger, Martin Lachaine, Tony Falco and Ulrich Scheipers -- Deconvolution technique for enhancing and classifying the retinal images / Uvais A. Qidwai and Umair A. Qidwai -- Medical ultrasound digital signal processing in the GPU computing / Era Marcin Lewandowski -- Developing medical image processing algorithms for GPU assisted parallel computation / Mathias Broxvall and Marios Daoutis -- Specific image processing and computer vision methods for different imaging modalities including IVUS, MRI, etc -- Computer vision in interventional cardiology / Kendall R. Waters -- Pattern classification of brain diffusion mri: application to schizophrenia diagnosis / Ali Tabesh, Matthew J. Hoptman, Debra DAngelo and Babak A. Ardekani -- On compressed sensing reconstruction for magnetic resonance imaging / Benjamin Paul Berman, Sagar Mandava and Ali Bilgin -- On hierarchical statistical shape models with application to brain MRI / Juan J. Cerrolaza, Arantxa Villanueva and Rafael Cabeza -- Advanced PDE-based methods for automatic quantification of cardiac function and scar from magnetic resonance imaging / Durco Turco and Cristiana Corsi -- Automated IVUS segmentation using deformabletemplate model with feature tracking / Prakash Manandhar and Chi Hau Chen. Diagnostic imaging Data processing. Computer vision in medicine. http://id.loc.gov/authorities/subjects/sh95001351 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Diagnostic Imaging methods Image Interpretation, Computer-Assisted methods Artificial Intelligence Imagerie pour le diagnostic Informatique. Vision par ordinateur en médecine. Intelligence artificielle. artificial intelligence. aat HEALTH & FITNESS Diseases General. bisacsh MEDICAL Clinical Medicine. bisacsh MEDICAL Diseases. bisacsh MEDICAL Evidence-Based Medicine. bisacsh MEDICAL Internal Medicine. bisacsh Artificial intelligence fast Computer vision in medicine fast Diagnostic imaging Data processing fast |
| subject_GND | http://id.loc.gov/authorities/subjects/sh95001351 http://id.loc.gov/authorities/subjects/sh85008180 |
| title | Computer vision in medical imaging / |
| title_auth | Computer vision in medical imaging / |
| title_exact_search | Computer vision in medical imaging / |
| title_full | Computer vision in medical imaging / editor, C.H. Chen. |
| title_fullStr | Computer vision in medical imaging / editor, C.H. Chen. |
| title_full_unstemmed | Computer vision in medical imaging / editor, C.H. Chen. |
| title_short | Computer vision in medical imaging / |
| title_sort | computer vision in medical imaging |
| topic | Diagnostic imaging Data processing. Computer vision in medicine. http://id.loc.gov/authorities/subjects/sh95001351 Artificial intelligence. http://id.loc.gov/authorities/subjects/sh85008180 Diagnostic Imaging methods Image Interpretation, Computer-Assisted methods Artificial Intelligence Imagerie pour le diagnostic Informatique. Vision par ordinateur en médecine. Intelligence artificielle. artificial intelligence. aat HEALTH & FITNESS Diseases General. bisacsh MEDICAL Clinical Medicine. bisacsh MEDICAL Diseases. bisacsh MEDICAL Evidence-Based Medicine. bisacsh MEDICAL Internal Medicine. bisacsh Artificial intelligence fast Computer vision in medicine fast Diagnostic imaging Data processing fast |
| topic_facet | Diagnostic imaging Data processing. Computer vision in medicine. Artificial intelligence. Diagnostic Imaging methods Image Interpretation, Computer-Assisted methods Artificial Intelligence Imagerie pour le diagnostic Informatique. Vision par ordinateur en médecine. Intelligence artificielle. artificial intelligence. HEALTH & FITNESS Diseases General. MEDICAL Clinical Medicine. MEDICAL Diseases. MEDICAL Evidence-Based Medicine. MEDICAL Internal Medicine. Artificial intelligence Computer vision in medicine Diagnostic imaging Data processing Internet Resources. |
| url | https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=670628 |
| work_keys_str_mv | AT chench computervisioninmedicalimaging |