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Titolo: | Patch-Based Techniques in Medical Imaging [[electronic resource] ] : Third International Workshop, Patch-MI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 14, 2017, Proceedings / / edited by Guorong Wu, Brent C. Munsell, Yiqiang Zhan, Wenjia Bai, Gerard Sanroma, Pierrick Coupé |
Pubblicazione: | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
Edizione: | 1st ed. 2017. |
Descrizione fisica: | 1 online resource (XI, 168 p. 59 illus.) |
Disciplina: | 616.07540285 |
Soggetto topico: | Optical data processing |
Health informatics | |
Artificial intelligence | |
Arithmetic and logic units, Computer | |
Mathematical statistics | |
Image Processing and Computer Vision | |
Health Informatics | |
Artificial Intelligence | |
Arithmetic and Logic Structures | |
Probability and Statistics in Computer Science | |
Persona (resp. second.): | WuGuorong |
MunsellBrent C | |
ZhanYiqiang | |
BaiWenjia | |
SanromaGerard | |
CoupéPierrick | |
Note generali: | Includes index. |
Nota di contenuto: | Multi-atlas segmentation -- Segmentation -- Alzheimer’s disease -- Reconstruction, denoising, super-resolution -- Tumor, lesion -- Classification, retrival. |
Sommario/riassunto: | This book constitutes the refereed proceedings of the Third International Workshop on Patch-Based Techniques in Medical Images, Patch-MI 2017, which was held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017. The 18 regular papers presented in this volume were carefully reviewed and selected from 26 submissions. The papers are organized in topical sections on multi-atlas segmentation; segmentation; Alzheimer’s disease; reconstruction, denoising, super-resolution; tumor, lesion; and classification, retrival. |
Titolo autorizzato: | Patch-Based Techniques in Medical Imaging |
ISBN: | 3-319-67434-X |
Formato: | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 996465914803316 |
Lo trovi qui: | Univ. di Salerno |
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