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

• Corporate Author: SpringerLink (Online service)
• Other Authors: Shi, Yinghuan (Editor, http://id.loc.gov/vocabulary/relators/edt), Suk, Heung-Il (Editor, http://id.loc.gov/vocabulary/relators/edt), Liu, Mingxia (Editor, http://id.loc.gov/vocabulary/relators/edt)
• Format: Electronic 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
• Subjects: Optical data processing.; Artificial intelligence.; Health informatics.; Data mining.; Image Processing and Computer Vision.; Artificial Intelligence.; Health Informatics.; Data Mining and Knowledge Discovery.
• Physical Description: XIII, 409 p. 152 illus. online resource.
• ISBN: 9783030009199
• DOI: 10.1007/978-3-030-00919-9

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.