{"product_id":"9789814460958","title":"Computer Vision In Medical Imaging","description":"\u003cp\u003eThe 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.\u003c\/p\u003e \u003cp\u003eThe 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.\u003c\/p\u003e\u003cb\u003eContents:\u003c\/b\u003e\u003cul\u003e\n\u003cul\u003e\u003cli\u003eAn Introduction to Computer Vision in Medical Imaging \u003ci\u003e(Chi Hau Chen)\u003c\/i\u003e\n\u003c\/li\u003e\u003c\/ul\u003e\n\u003cli\u003e\n\u003cb\u003e\u003ci\u003eTheory and Methodologies:\u003c\/i\u003e\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eDistribution Matching Approaches to Medical Image Segmentation \u003ci\u003e(Ismail Ben Ayed)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eDigital Pathology in Medical Imaging \u003ci\u003e(Bikash Sabata, Chukka Srinivas, Pascal Bamford and Gerardo Fernandez)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eAdaptive Shape Prior Modeling via Online Dictionary Learning \u003ci\u003e(Shaoting Zhang, Yiqiang Zhan, Yan Zhou and Dimitris Metaxas)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eFeature-Centric Lesion Detection and Retrieval in Thoracic Images \u003ci\u003e(Yang Song, Weidong Cai, Stefan Eberl, Michael J Fulham and David Dagan Feng)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eA Novel Paradigm for Quantitation from MR Phase \u003ci\u003e(Joseph Dagher)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eA Multi-Resolution Active Contour Framework for Ultrasound Image Segmentation \u003ci\u003e(Weiming Wang, Jing Qin, Pheng-Ann Heng, Yim-Pan Chui, Liang Li and Bing Nan Li)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e\u003ci\u003e2D, 3D Reconstructions\/Imaging Algorithms, Systems \u0026amp; Sensor Fusion:\u003c\/i\u003e\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eModel-Based Image Reconstruction in Optoacoustic Tomography \u003ci\u003e(Amir Rosenthal, Daniel Razansky and Vasilis Ntziachristos)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eThe Fusion of Three-Dimensional Quantitative Coronary Angiography and Intracoronary Imaging for Coronary Interventions \u003ci\u003e(Shengxian Tu, Niels R Holm, Johannes P Janssen and Johan H C Reiber)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eThree-Dimensional Reconstruction Methods in Near-Field Coded Aperture for SPECT Imaging System \u003ci\u003e(Stephen Baoming Hong)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eUltrasound Volume Reconstruction based on Direct Frame Interpolation \u003ci\u003e(Sergei Koptenko, Rachel Remlinger, Martin Lachaine, Tony Falco and Ulrich Scheipers)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eDeconvolution Technique for Enhancing and Classifying the Retinal Images \u003ci\u003e(Uvais A Qidwai and Umair A Qidwai)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eMedical Ultrasound Digital Signal Processing in the GPU Computing Era \u003ci\u003e(Marcin Lewandowski)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eDeveloping Medical Image Processing Algorithms for GPU Assisted Parallel Computation \u003ci\u003e(Mathias Broxvall and Marios Daotis)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003cli\u003e\n\u003cb\u003e\u003ci\u003eSpecific Image Processing and Computer Vision Methods for Different Imaging Modalities Including IVUS, MRI, etc.:\u003c\/i\u003e\u003c\/b\u003e\u003cul\u003e\n\u003cli\u003eComputer Vision in Interventional Cardiology \u003ci\u003e(Kendall R Waters)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003ePattern Classification of Brain Diffusion MRI: Application to Schizophrenia Diagnosis \u003ci\u003e(Ali Tabesh, Matthew J Hoptman, Debra D'Angelo and Babak A Ardekani)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eOn Compressed Sensing Reconstruction for Magnetic Resonance Imaging \u003ci\u003e(Benjamin Paul Berman, Sagar Mandava and Ali Bilgin)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eOn Hierarchical Statistical Shape Models with Application to Brain MRI \u003ci\u003e(Juan J Cerrolaza, Arantxa Villanueva and Rafael Cabeza)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eAdvanced PDE-based Methods for Automatic Quantification of Cardiac Function and Scar from Magnetic Resonance Imaging \u003ci\u003e(Durco Turco and Cristiana Corsi)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003cli\u003eAutomated IVUS Segmentation Using Deformable Template Model with Feature Tracking \u003ci\u003e(Prakash Manandhar and Chi Hau Chen)\u003c\/i\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cb\u003eReadership:\u003c\/b\u003e Researchers, professionals and academics in machine perception\/computer vision, pattern recognition\/image analysis, nuclear medicine, bioengineering \u0026amp; cardiology.\u003cbr\u003e","brand":"World Scientific Publishing Company, Incorporated","offers":[{"title":"Default Title","offer_id":47185290658032,"sku":"9789814460958","price":55.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0737\/7593\/9824\/files\/9789814460958_p0.jpg?v=1763691373","url":"https:\/\/shop-qa.barnesandnoble.com\/products\/9789814460958","provider":"Barnes \u0026 Noble (DEV)","version":"1.0","type":"link"}