Machine Learning in Medical Imaging: 14th International Workshop, Mlmi 2023, Held in Conjunction With Miccai 2023, Vancouver, Bc, Canada, October 8, 2023, Proceedings

Cao, Xiaohuan (Editor)/ Xu, Xuanang (Editor)/ Rekik, Islem (Editor)/ Cui, Zhiming (Editor)/ Ouyang, XI (Editor)

ISBN 10: 3031456750 / ISBN 13: 9783031456756

Published by Springer Nature, 2023

About this Item

503 pages. 9.26x6.10x1.02 inches. In Stock.

Seller Inventory # x-3031456750

Bibliographic Details

• Title: Machine Learning in Medical Imaging: 14th International Workshop, Mlmi 2023, Held in Conjunction With Miccai 2023, Vancouver, Bc, Canada, October 8, 2023, Proceedings
• Publisher: Springer Nature
• Publication Date: 2023
• Language: English
• ISBN 10: 3031456750
• ISBN 13: 9783031456756
• Binding: Paperback
• Condition: Brand New
• Weight: 0.7 kilograms

About this title

Synopsis

The two-volume set LNCS 14348 and 14139 constitutes the proceedings of the 14th International Workshop on Machine Learning in Medical Imaging, MLMI 2023, held in conjunction with MICCAI 2023, in Vancouver, Canada, in October 2023. 

The 93 full papers presented in the proceedings were carefully reviewed and selected from 139 submissions. They focus on major trends and challenges in artificial intelligence and machine learning in the medical imaging field, translating medical imaging research into clinical practice. Topics of interests included deep learning, generative adversarial learning, ensemble learning, transfer learning, multi-task learning, manifold learning, reinforcement learning, along with their applications to medical image analysis, computer-aided diagnosis, multi-modality fusion, image reconstruction, image retrieval, cellular image analysis, molecular imaging, digital pathology, etc.