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000742300 020__ $$a9783319281940$$qelectronic book
000742300 020__ $$a3319281941$$qelectronic book
000742300 020__ $$z9783319281933
000742300 0247_ $$a10.1007/978-3-319-28194-0$$2doi
000742300 035__ $$aSP(OCoLC)ocn934800723
000742300 035__ $$aSP(OCoLC)934800723
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000742300 050_4 $$aRC78.7.D53
000742300 08204 $$a616.07/57$$223
000742300 1112_ $$aInternational Workshop on Patch-based Techniques in Medical Images$$n(1st :$$d2015 :$$cMunich, Germany)
000742300 24510 $$aPatch-based techniques in medical imaging$$h[electronic resource] :$$bfirst International Workshop, Patch-MI 2015, Held in Conjunction with MICCAI 2015, Munich, Germany, October 9, 2015, Revised selected papers /$$cGuorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent Munsell, Daniel Rueckert (eds.).
000742300 2463_ $$aPatch-MI 2015
000742300 264_1 $$aCham :$$bSpringer,$$c2015.
000742300 300__ $$a1 online resource (ix, 216 pages) :$$bcolor illustrations.
000742300 336__ $$atext$$btxt$$2rdacontent
000742300 337__ $$acomputer$$bc$$2rdamedia
000742300 338__ $$aonline resource$$bcr$$2rdacarrier
000742300 4901_ $$aLecture notes in computer science,$$x0302-9743 ;$$v9467
000742300 4901_ $$aLNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
000742300 500__ $$aIncludes author index.
000742300 5050_ $$aA Multi-level Canonical Correlation Analysis Scheme for Standard-dose PET Image Estimation -- Image Super-Resolution by Supervised Adaption of Patchwise Self-Similarity from High-Resolution Image -- Automatic Hippocampus Labeling Using the Hierarchy of Sub-Region Random Forests -- Isointense Infant Brain Segmentation by Stacked Kernel Canonical Correlation Analysis -- Improving Accuracy of Automatic Hippocampus Segmentation in Routine MRI by Features Learned from Ultra-high Field MRI -- Dual-Layer l1-Graph Embedding for Semi-Supervised Image Labeling -- Automatic Liver Tumor Segmentation in Follow-up CT Studies Using Convolutional Neural Network -- Block-based Statistics for Robust Non-Parametric Morphometry -- Automatic Collimation Detection in Digital Radiographs with the Directed Hough Transform and Learning-based Edge Detection -- Efficient Lung Cancer Cell Detection with Deep Convolutional Neural Network -- An Effective Approach for Robust Lung Cancer Cell Detection -- Laplacian Shape Editing with Local Patch Based Force Field for Interactive Segmentation -- Hippocampus Segmentation through Distance Field Fusion -- Learning a Spatiotemporal Dictionary for Magnetic Resonance Fingerprinting with Compress Sensing -- Fast Regions-of-Interest Detection in Whole Slide Histopathology Images -- Reliability Guided Forward and Backward Patch-based Method for Multi-atlas Segmentation -- Correlating Tumour Histology and ex vivo MRI Using Dense Modality-Independent Patch-Based Descriptor -- Multi-Atlas Segmentation using Patch-Based Joint Label Fusion with Non-Negative Least Squares Regression -- A Spatially Constrained Deep Learning Framework for Detection of Epithelial Tumor Nuclei in Cancer Histology Images -- 3D MRI Denoising using Rough Set Theory and Kernel Embedding Method -- A Novel Cell Orientation Congruence Descriptor for Superpixel based Epithelium Segmentation in Endometrial Histology Images -- Patch-based Segmentation from MP2RAGE Images: Comparison to Conventional Techniques -- Multi-Atlas and Multi-Modal Hippocampus Segmentation for Infant MR Brain Images by Propagating Anatomical Labels on Hypergraph -- Prediction of Infant MRI Appearance and Anatomical Structure Evolution using Sparse Patch-based Metamorphosis Learning Framework -- Efficient Multi-Scale Patch-based Segmentation.
000742300 506__ $$aAccess limited to authorized users.
000742300 520__ $$aThis book constitutes the thoroughly refereed post-workshop proceedings of the First International Workshop on Patch-based Techniques in Medical Images, Patch-MI 2015, which was held in conjunction with MICCAI 2015, in Munich, Germany, in October 2015. The 25 full papers presented in this volume were carefully reviewed and selected from 35 submissions. The topics covered are such as image segmentation of anatomical structures or lesions; image enhancement; computer-aided prognostic and diagnostic; multi-modality fusion; mono and multi modal image synthesis; image retrieval; dynamic, functional physiologic and anatomic imaging; super-pixel/voxel in medical image analysis; sparse dictionary learning and sparse coding; analysis of 2D, 2D+t, 3D, 3D+t, 4D, and 4D+t data.
000742300 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed January 15, 2016).
000742300 650_0 $$aDiagnostic imaging$$xData processing$$vCongresses.
000742300 7001_ $$aWu, Guorong$$c(Researcher in medical imaging),$$eeditor.
000742300 7001_ $$aCoupé, Pierrick,$$eeditor.
000742300 7001_ $$aZhan, Yiqiang,$$eeditor.
000742300 7001_ $$aMunsell, Brent,$$eeditor.
000742300 7001_ $$aRueckert, Daniel,$$eeditor.
000742300 7112_ $$aInternational Conference on Medical Image Computing and Computer-Assisted Intervention$$n(18th :$$d2015 :$$cMunich, Germany)
000742300 830_0 $$aLecture notes in computer science ;$$v9467.
000742300 830_0 $$aLNCS sublibrary.$$nSL 6,$$pImage processing, computer vision, pattern recognition, and graphics.
000742300 85280 $$bebk$$hSpringerLink
000742300 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-3-319-28194-0$$zOnline Access$$91397441.1
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