Uncertainty for Safe Utilization of Machine Learning in Medical Imaging: 6th International Workshop, Unsure 2024, Held in Conjunction with Miccai 2024
Sudre, Carole H., Mehta, Raghav, Ouyang, Cheng
- 出版商: Springer
- 出版日期: 2024-10-02
- 售價: $2,620
- 貴賓價: 9.5 折 $2,489
- 語言: 英文
- 頁數: 226
- 裝訂: Quality Paper - also called trade paper
- ISBN: 3031731573
- ISBN-13: 9783031731570
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相關分類:
Machine Learning
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商品描述
This book constitutes the refereed proceedings of the 6th Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2024, held in conjunction with MICCAI 2024, Marrakesh, Morocco, on October 10, 2024.
The 20 full papers presented in this book were carefully reviewed and selected from 28 submissions. They are organized in the following topical sections: annotation uncertainty; clinical implementation of uncertainty modelling and risk management in clinical pipelines; out of distribution and domain shift identification and management; uncertainty modelling and estimation.
商品描述(中文翻譯)
本書為第六屆醫學影像中機器學習安全利用不確定性研討會（UNSURE 2024）的經過審核的會議論文集，該研討會於2024年10月10日在摩洛哥馬拉喀什舉行，與MICCAI 2024同時舉辦。
本書中呈現的20篇完整論文是從28篇投稿中仔細審核和選出的。這些論文組織在以下主題部分：標註不確定性；不確定性建模和風險管理在臨床流程中的臨床實施；分佈外和領域轉移的識別與管理；不確定性建模和估計。
