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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with Miccai 2022, Singapore, September 18, 2022, Proc

Machine Learning in Medical Imaging: 13th International Workshop, MLMI 2022, Held in Conjunction with Miccai 2022, Singapore, September 18, 2022, Proc

Lian, Chunfeng
Cao, Xiaohuan
Rekik, Islem

Paperback

Series: Lecture Notes in Computer Science, Book 1358

General ComputersNetworkingProgramming

ISBN10: 3031210131
ISBN13: 9783031210136
Publisher: Springer Nature
Published: Dec 16 2022
Pages: 479
Weight: 1.52
Height: 1.00 Width: 6.14 Depth: 9.21
Language: English
This book constitutes the proceedings of the 13th International Workshop on Machine Learning in Medical Imaging, MLMI 2022, held in conjunction with MICCAI 2022, in Singapore, in September 2022.
The 48 full papers presented in this volume were carefully reviewed and selected from 64 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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