This book constitutes the proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021, held in conjunction with MICCAI 2021, in Strasbourg, France, in September 2021.*The 71 papers presented in this volume were carefully reviewed and selected from 92 submissions. They focus on major trends and challenges in the above-mentioned area, aiming to identify new-cutting-edge techniques and their uses in medical imaging. Topics dealt with are: deep learning, generative adversarial learning, ensemble learning, sparse learning, multi-task learning, multi-view learning, manifold learning, and reinforcement learning, with their applications to medical image analysis, computer-aided detection and diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc. *The workshop was held virtually.
Xiaohuan Cao & Chunfeng Lian
Machine Learning in Medical Imaging [EPUB ebook]
12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
Machine Learning in Medical Imaging [EPUB ebook]
12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings
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Taal Engels ● Formaat EPUB ● ISBN 9783030875893 ● Editor Xiaohuan Cao & Chunfeng Lian ● Uitgeverij Springer International Publishing ● Gepubliceerd 2021 ● Downloadbare 3 keer ● Valuta EUR ● ID 8185037 ● Kopieerbeveiliging Adobe DRM
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