Machine Learning in Medical Imaging 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings

Machine Learning in Medical Imaging 9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings / edited by Yinghuan Shi, Heung-Il Suk, Mingxia Liu.

This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Shi, Yinghuan (Editor), Suk, Heung-Il (Editor), Liu, Mingxia (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:1st ed. 2018.
Series:Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11046
Springer eBook Collection.
Subjects:
Optical data processing.
Artificial intelligence.
Health informatics.
Data mining.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary:This book constitutes the proceedings of the 9th International Workshop on Machine Learning in Medical Imaging, MLMI 2018, held in conjunction with MICCAI 2018 in Granada, Spain, in September 2018. The 45 papers presented in this volume were carefully reviewed and selected from 82 submissions. They focus on major trends and challenges in the area of machine learning in medical imaging and aim to identify new cutting-edge techniques and their use in medical imaging.
Physical Description:XIII, 409 p. 152 illus. online resource.
ISBN:9783030009199
DOI:10.1007/978-3-030-00919-9

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