Description
Machine Learning in Medical Imaging, 1st ed. 2018
9th International Workshop, MLMI 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings
Image Processing, Computer Vision, Pattern Recognition, and Graphics Series
Coordinators: Shi Yinghuan, Suk Heung-Il, Liu Mingxia
Language: English
Subjects for Machine Learning in Medical Imaging:
Keywords
artificial intelligence; automatic segmentations; classification and regression trees; convolutional neural networks; generative adversarial networks; image processing; image quality; image reconstruction; image segmentation; imaging systems; machine learning; medical images; network architecture; neural networks; segmentation methods; supervised learning
Publication date: 09-2018
Support: Print on demand
Support: Print on demand
Description
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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.
© 2024 LAVOISIER S.A.S.
