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
Langue : Anglais
Coordonnateurs : Shi Yinghuan, Suk Heung-Il, Liu Mingxia
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.
Date de parution : 09-2018
Ouvrage de 409 p.
15.5x23.5 cm
Thèmes de Machine Learning in Medical Imaging :
Mots-clés :
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
© 2024 LAVOISIER S.A.S.
