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    Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging

Carole H. Sudre
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      This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025. The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Risk management, uncertainty interpretation and visualisation; domain shift and out-of-distribution management; uncertainty calibration; and uncertainty modelling and estimation, Bayesian deep learning.

      Format: Paperback / softback CONTRIBUTORS: Carole H. Sudre EAN: 9783032065926 COUNTRY: Switzerland PAGES: 246 WEIGHT: HEIGHT: 235 mm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2025-09-29 CITY: GENRE: COMPUTERS / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Image Processing, COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Optical Data Processing, COMPUTERS / Data Science / Machine Learning, MEDICAL / Diagnostic Imaging / General WIDTH: 155 mm SPINE:

      Book Themes:

      Medical imaging, Information technology: general topics, Applied computing, Artificial intelligence, Machine learning, Image processing

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      This book constitutes the refereed proceedings of the 7th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2025, held in conjunction with MICCAI 2025, in Daejon, South Korea, on September 27, 2025. The 22 full papers included in this book were carefully reviewed and selected from 33 submissions. They were organized in topical sections as follows: Risk management, uncertainty interpretation and visualisation; domain shift and out-of-distribution management; uncertainty calibration; and uncertainty modelling and estimation, Bayesian deep learning.

      Format: Paperback / softback CONTRIBUTORS: Carole H. Sudre EAN: 9783032065926 COUNTRY: Switzerland PAGES: 246 WEIGHT: HEIGHT: 235 mm
      PUBLISHED BY: Springer Nature Switzerland AG DATE PUBLISHED: 2025-09-29 CITY: GENRE: COMPUTERS / General, COMPUTERS / Artificial Intelligence / General, COMPUTERS / Business & Productivity Software / General, COMPUTERS / Image Processing, COMPUTERS / Computer Science, COMPUTERS / Artificial Intelligence / Computer Vision & Pattern Recognition, COMPUTERS / Optical Data Processing, COMPUTERS / Data Science / Machine Learning, MEDICAL / Diagnostic Imaging / General WIDTH: 155 mm SPINE:

      Book Themes:

      Medical imaging, Information technology: general topics, Applied computing, Artificial intelligence, Machine learning, Image processing

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