Machine Learning in Medical Imaging

Beschreibung

This book constitutes the refereed proceedings of the 8th International Workshop on Machine Learning in Medical Imaging, MLMI 2017, held in conjunction with MICCAI 2017, in Quebec City, QC, Canada, in September 2017.

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.

Autor*in

Qian Wang

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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

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