Machine Learning in Medical Imaging

£89.50

Machine Learning in Medical Imaging

12th International Workshop, MLMI 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27, 2021, Proceedings

Computational biology / bioinformatics Computer hardware Artificial intelligence Pattern recognition Computer vision

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Collection: Lecture Notes in Computer Science

Language: English

Published by: Springer

Published on: 25th September 2021

Format: LCP-protected ePub

Size: 118 Mb

ISBN: 9783030875893


Proceedings of the 12th International Workshop on Machine Learning in Medical Imaging, MLMI 2021

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 workshop was held virtually.

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.

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