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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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Chen, C. H. (Chi-hau), 1937- (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hackensack, NJ : World Scientific, 2013.
Colección:Series in computer vision ; v. 2.
Temas:
Acceso en línea:Texto completo

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) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
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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. 
590 |a eBooks on EBSCOhost  |b EBSCO eBook Subscription Academic Collection - Worldwide 
650 0 |a Diagnostic imaging  |x Data processing. 
650 0 |a Computer vision in medicine. 
650 0 |a Artificial intelligence. 
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 
650 7 |a MEDICAL  |x Clinical Medicine.  |2 bisacsh 
650 7 |a MEDICAL  |x Diseases.  |2 bisacsh 
650 7 |a MEDICAL  |x Evidence-Based Medicine.  |2 bisacsh 
650 7 |a MEDICAL  |x Internal Medicine.  |2 bisacsh 
650 7 |a Artificial intelligence.  |2 fast  |0 (OCoLC)fst00817247 
650 7 |a Computer vision in medicine.  |2 fast  |0 (OCoLC)fst00872696 
650 7 |a Diagnostic imaging  |x Data processing.  |2 fast  |0 (OCoLC)fst00892357 
655 4 |a Internet Resources. 
700 1 |a Chen, C. H.  |q (Chi-hau),  |d 1937-  |e editor. 
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 
830 0 |a Series in computer vision ;  |v v. 2. 
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