Machine Learning in Medical Imaging

Beschreibung

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.

Autor*in

Yinghuan Shi

Themen in »Machine Learning in Medical Imaging«

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

Stimmen zu »Machine Learning in Medical Imaging«

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