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001 978-3-642-33612-6
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005 20140220083327.0
007 cr nn 008mamaa
008 120828s2012 gw | s |||| 0|eng d
020 _a9783642336126
_9978-3-642-33612-6
024 7 _a10.1007/978-3-642-33612-6
_2doi
050 4 _aTA1637-1638
050 4 _aTA1637-1638
072 7 _aUYT
_2bicssc
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072 7 _aCOM012000
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_2bisacsh
082 0 4 _a006.6
_223
082 0 4 _a006.37
_223
100 1 _aYoshida, Hiroyuki.
_eeditor.
245 1 0 _aAbdominal Imaging. Computational and Clinical Applications
_h[electronic resource] :
_b4th International Workshop, Held in Conjunction with MICCAI 2012, Nice, France, October 1, 2012. Proceedings /
_cedited by Hiroyuki Yoshida, David Hawkes, Michael W. Vannier.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2012.
300 _aXIV, 304 p. 133 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v7601
505 0 _aProne to Supine CT Colonography Registration Using a Landmark and Intensity Composite Method -- External Clinical Validation of Prone and Supine CT Colonography Registration -- Efficient Topological Cleaning for Visual Colon Surface Flattening -- Adaptive Volumetric Detection of Lesions for Minimal-Preparation Dual-Energy CT Colonography -- Computer-Aided Detection for Ultra-Low-Dose CT Colonography -- Application of CT Simulation Technique for Virtual Ultra-Low-Dose Trial in CT Colonography -- Application of CT Simulation Technique for Virtual Fecal Tagging in CTC -- Application of CT Acquisition Parameters as Features in Computer-Aided Detection for CT Colonography -- Comparative Performance of State-of-the-Art Classifiers in Computer-Aided Detection for CT Colonography -- Piecewise Structural Diffusion Defined on Shape Index for Noise Reduction in Dual-Energy CT Images -- A Supervised Learning Based Approach to Detect Crohn’s Disease in Abdominal MR Volumes -- Out-of-Plane Motion Compensation in Cine-MRI -- Real-Time Phase Boundary Detection for Colonoscopy Videos Using Motion Vector Templates -- Relaxed Conditional Statistical Shape Models and Their Application to Non-contrast Liver Segmentation -- A Landmark-Based Primal-Dual Approach for Discontinuity Preserving Registration -- Predicting Liver Motion Using Exemplar Models -- Semi-automatic Discrimination of Normal Tissue and Liver Cancer Lesions in Contrast Enhanced X-Ray CT-Scans -- Evaluation of Diffusion Filters for 3D CTA Liver Vessel Enhancement -- 3D Shape Analysis for Liver-Gallbladder Anatomical Structure Retrieval -- Tumor Sensitive Matching Flow: An Approach for Ovarian Cancer Metastasis Detection and Segmentation -- Fast Segmentation of Abdominal Wall: Application to Sliding Effect Removal for Non-rigid Registration -- A Fully Automated Framework for Renal Cortex Segmentation -- An Implicit Inter-subject Shape Driven Image Deformation Model for Prostate Motion Estimation -- Segmentation of the Cartilage in the Rib Cage in 3D MRI -- Method for Detecting Enlarged Lymph Nodes from 3D Abdominal CT Images with a Multi-shape and Multi-scale Ellipsoidal Structure Detection Filter -- Delineation of Liver Tumors from CT Scans Using Spectral Clustering with Out-of-Sample Extension and Multi-windowing -- Evaluation of Medical Image Registration by Using 3D SIFT and Phase-Only Correlation -- Optimal Medial Surface Generation for Anatomical Volume Representations -- Registration of Free-Breathing Abdominal 3D Contrast-Enhanced CT -- Non-newtonian Blood Flow Analysis for the Portal Vein Based on a CT Image -- Tracer Kinetic Modeling by Morales-Smith Hypothesis in Hepatic Perfusion CT.
520 _aThis book constitutes the refereed proceedings of the 4th International Workshop CCAAI 2012, held in Nice, France, in October 2012. The book includes 31 papers which were carefully reviewed and selected from 37 submissions. All of the accepted papers were revised by incorporating of the reviewers’ comments and re-submitted by the authors to be included in this proceedings volume. The papers are organized into topical sections on colon and other gastrointestinal tract; and liver, kidney, and other organs.
650 0 _aComputer science.
650 0 _aComputer vision.
650 1 4 _aComputer Science.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aComputation by Abstract Devices.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
650 2 4 _aComputer Imaging, Vision, Pattern Recognition and Graphics.
700 1 _aHawkes, David.
_eeditor.
700 1 _aVannier, Michael W.
_eeditor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783642336119
830 0 _aLecture Notes in Computer Science,
_x0302-9743 ;
_v7601
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-642-33612-6
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