Machine Learning in Medical Imaging

13th International Workshop, MLMI 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18, 2022, Proceedings

• Author(s): Chunfeng Lian, Xiaohuan Cao, Islem Rekik, Xuanang Xu, Zhiming Cui,
• Publisher: Springer Nature
• Pages: 479
• ISBN_10: 303121014X
  ISBN_13: 9783031210143
  
• Language: en
• Categories: Computers / Software Development & Engineering / Computer Graphics , Computers / Artificial Intelligence / Computer Vision & Pattern Recognition , Computers / Artificial Intelligence / General , Computers / Networking / General , Computers / Data Science / General , Computers / Computer Science , Computers / Optical Data Processing , Computers / Software Development & Engineering / General , Science / Life Sciences / General ,

Description:... 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.