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Machine Learning in Medical Imaging [[electronic resource] ] : 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings / / edited by Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk



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Titolo: Machine Learning in Medical Imaging [[electronic resource] ] : 7th International Workshop, MLMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Proceedings / / edited by Li Wang, Ehsan Adeli, Qian Wang, Yinghuan Shi, Heung-Il Suk Visualizza cluster
Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Edizione: 1st ed. 2016.
Descrizione fisica: 1 online resource (XIV, 324 p. 127 illus.)
Disciplina: 006.6
Soggetto topico: Optical data processing
Pattern recognition
Health informatics
Data mining
Artificial intelligence
Image Processing and Computer Vision
Pattern Recognition
Health Informatics
Data Mining and Knowledge Discovery
Artificial Intelligence
Persona (resp. second.): WangLi
AdeliEhsan
WangQian
ShiYinghuan
SukHeung-Il
Nota di bibliografia: Includes bibliographical references and index.
Sommario/riassunto: This book constitutes the refereed proceedings of the 7th International Workshop on Machine Learning in Medical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. The 38 full papers presented in this volume were carefully reviewed and selected from 60 submissions. The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging.
Titolo autorizzato: Machine Learning in Medical Imaging  Visualizza cluster
ISBN: 3-319-47157-0
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 996465662703316
Lo trovi qui: Univ. di Salerno
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Serie: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; ; 10019