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Updated: Jul 23, 2025

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具有解剖意识的自我监督学习,用于检测胸部X射线图中的异常

Junya Sato1,2,3, Yuki Suzuki1, Tomohiro Wataya1,2

  • 1Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka 565-0871, Japan.

iScience
|July 12, 2023
PubMed
概括

本研究介绍了一种自主监督学习 (SSL) 模型,用于在胸部放射图中进行无监督异常检测 (UAD). 新的解剖意识粘贴 (AnatPaste) 方法提高了异常识别的准确性,优于现有的UAD模型.

关键词:
应用计算应用计算的应用卫生科学 卫生科学医学 医学 医学 医学 医学

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