Machine Learning in Medical Imaging
ISBN 10: 3030875881 ISBN 13: 9783030875886
Published by Springer, 2021
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Soft cover
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Synopsis:
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.
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Bibliographic Details
Title: Machine Learning in Medical Imaging
Publisher: Springer
Publication Date: 2021
Binding: Soft cover
Condition: Brand New