Handbook of Biomedical Image Analysis (eBook, PDF)
Volume 2: Segmentation Models Part B
Redaktion: Wilson, David; Laxminarayan, Swamy
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Handbook of Biomedical Image Analysis (eBook, PDF)
Volume 2: Segmentation Models Part B
Redaktion: Wilson, David; Laxminarayan, Swamy
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particular, we show that xiii xiv Preface the binary local patterns represent an optimal description of ultrasound regions that at the same time allow real-time processing of images.
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particular, we show that xiii xiv Preface the binary local patterns represent an optimal description of ultrasound regions that at the same time allow real-time processing of images.
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Produktdetails
- Produktdetails
- Verlag: Springer US
- Seitenzahl: 816
- Erscheinungstermin: 23. April 2007
- Englisch
- ISBN-13: 9780306486067
- Artikelnr.: 37286079
- Verlag: Springer US
- Seitenzahl: 816
- Erscheinungstermin: 23. April 2007
- Englisch
- ISBN-13: 9780306486067
- Artikelnr.: 37286079
- Herstellerkennzeichnung Die Herstellerinformationen sind derzeit nicht verfügbar.
Jasjit Suri, Ph.D. has spent the last 20 years in the field of computer and electrical engineering, and more than a decade in imaging sciences. Dr. Suri has a masters in computer sciences from the University of Illinois, a doctorate from the University of Washington, Seattle, and will soon receive his EMBA from the Weatherhead School of Management at Case Western Reserve University, Cleveland, Ohio. Dr. Suri has published over 100 technical publications in medical imaging, is a senior member of IEEE, member of the engineering honor societies Eta-Kappa-Nu and Tau-Beta-Phi, and a recipient of the President's Gold Medal in 1980. Prof. Swamy Laxminarayan, D.Sci. championed the field of Biomedical Engineering for over 30 years having held a variety of senior positions within the industry. He is an internationally recognized scientist, engineer, and educator with over 200 technical publications in biomedical information technology, computation biology, signal and image processing, biotechnology, and physiological system modeling. Prof. Laxminarayan is a fellow of AIMBE and a recipient of IEEE 3rd Millennium Medal.
Medical Image Registration: Theory, Algorithm, and Case Studies in Surgical Simulation, Chest Cancer, and Multiple Sclerosis.- State of the Art of Level Set Methods in Segmentation and Registration of Medical Imaging Modalities.- Three-Dimensional Rigid and Non-Rigid Image Registration for the Pelvis and Prostate.- Stereo and Temporal Retinal Image Registration by Mutual Information Maximization.- Quantification of Brain Aneurysm Dimensions from CTA for Surgical Planning of Coiling Interventions.- Inverse Consistent Image Registration.- A Computer-Aided Design System for Segmentation of Volumetric Images.- Inter-Subject Non-Rigid Registration: An Overview with Classification and the Romeo Algorithm.- Elastic Registration for Biomedical Applications.- Cross-Entropy, Reversed Cross-Entropy, and Symmetric Divergence Similarity Measures for 3D Image Registration: A Comparative Study.- Quo Vadis, Atlas-Based Segmentation?.- Deformable Image Registration with Hyperelastic Warping.- Future of Image Registration.
Medical Image Registration: Theory, Algorithm, and Case Studies in Surgical Simulation, Chest Cancer, and Multiple Sclerosis.- State of the Art of Level Set Methods in Segmentation and Registration of Medical Imaging Modalities.- Three-Dimensional Rigid and Non-Rigid Image Registration for the Pelvis and Prostate.- Stereo and Temporal Retinal Image Registration by Mutual Information Maximization.- Quantification of Brain Aneurysm Dimensions from CTA for Surgical Planning of Coiling Interventions.- Inverse Consistent Image Registration.- A Computer-Aided Design System for Segmentation of Volumetric Images.- Inter-Subject Non-Rigid Registration: An Overview with Classification and the Romeo Algorithm.- Elastic Registration for Biomedical Applications.- Cross-Entropy, Reversed Cross-Entropy, and Symmetric Divergence Similarity Measures for 3D Image Registration: A Comparative Study.- Quo Vadis, Atlas-Based Segmentation?.- Deformable Image Registration with Hyperelastic Warping.- Future of Image Registration.







