Description
Machine Learning in Medical Imaging, 1st ed. 2017
8th International Workshop, MLMI 2017, Held in Conjunction with MICCAI 2017, Quebec City, QC, Canada, September 10, 2017, Proceedings
Image Processing, Computer Vision, Pattern Recognition, and Graphics Series
Coordinators: Wang Qian, Shi Yinghuan, Suk Heung-Il, Suzuki Kenji
Language: EnglishSubjects for Machine Learning in Medical Imaging:
Keywords
classification and regression trees; convolutional neural networks; deep learning; factorization methods; generative adversarial networks; image analysis; image processing; image segmentation; learning networks; learning systems; machine learning; medical image analysis; multi-task learning; neural networks; shape representation; supervised learning
Support: Print on demand
Description
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The 44 full papers presented in this volume were carefully reviewed and selected from 63 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.
Includes supplementary material: sn.pub/extras