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Patch-Based Techniques in Medical Imaging = Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Patch-Based Techniques in Medical Imaging/ edited by Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent C. Munsell, Daniel Rueckert.
其他題名:	Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings /
其他作者:	Wu, Guorong.
面頁冊數:	X, 141 p. 45 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Optical data processing. -
電子資源:	https://doi.org/10.1007/978-3-319-47118-1
ISBN:	9783319471181

Patch-Based Techniques in Medical Imaging = Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings /
Patch-Based Techniques in Medical ImagingSecond International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings /[electronic resource] :edited by Guorong Wu, Pierrick Coupé, Yiqiang Zhan, Brent C. Munsell, Daniel Rueckert. - 1st ed. 2016. - X, 141 p. 45 illus.online resource. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;9993. - Image Processing, Computer Vision, Pattern Recognition, and Graphics ;9219.

Automatic Segmentation of Hippocampus for Longitudinal Infant Brain MR Image Sequence by Spatial-Temporal Hypergraph Learning -- Construction of Neonatal Diffusion Atlases via Spatio-Angular Consistency -- Selective Labeling: identifying representative sub-volumes for interactive segmentation -- Robust and Accurate Appearance Models based on Joint Dictionary Learning: Data from the Osteoarthritis Initiative -- Consistent multi-atlas hippocampus segmentation for longitudinal MR brain images with temporal sparse representation -- Sparse-Based Morphometry: Principle and Application to Alzheimer’s Disease -- Multi-Atlas Based Segmentation of Brainstem Nuclei from MR Images by Deep Hyper-Graph Learning -- Patch-Based Discrete Registration of Clinical Brain Images -- Non-local MRI Library-based Super-resolution: Application to Hippocampus Subfield Segmentation -- Patch-based DTI grading: Application to Alzheimer's disease classification -- Hierarchical Multi-Atlas Segmentation using Label-Specific Embeddings, Target-Specific Templates and Patch Refinement -- HIST: HyperIntensity Segmentation Tool -- Supervoxel-Based Hierarchical Markov Random Field Framework for Multi-Atlas Segmentation -- CapAIBL: Automated reporting of cortical PET quantification without need of MRI on brain surface using a patch-based method -- High resolution hippocampus subfield segmentation using multispectral multi-atlas patch-based label fusion -- Identification of water and fat images in Dixon MRI using aggregated patch-based convolutional neural networks -- Estimating Lung Respiratory Motion Using Combined Global and Local Statistical Models.

This book constitutes the refereed proceedings of the Second International Workshop on Patch-Based Techniques in Medical Images, Patch-MI 2016, which was held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 17 regular papers presented in this volume were carefully reviewed and selected from 25 submissions. The main aim of the Patch-MI 2016 workshop is to promote methodological advances within the medical imaging field, with various applications in image segmentation, image denoising, image super-resolution, computer-aided diagnosis, image registration, abnormality detection, and image synthesis.

ISBN: 9783319471181

Standard No.: 10.1007/978-3-319-47118-1doiSubjects--Topical Terms:

639187
Optical data processing.

LC Class. No.: TA1630-1650

Dewey Class. No.: 006.6

Patch-Based Techniques in Medical Imaging = Second International Workshop, Patch-MI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings /
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