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Updated: Jun 23, 2026

Quantitation of Protein Expression and Co-localization Using Multiplexed Immuno-histochemical Staining and Multispectral Imaging
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深度学习算法用于瘤细分和诊断前列腺癌患者临床显著癌症的歧视

Sujin Hong1, Seung Ho Kim1, Byeongcheol Yoo2

  • 1Department of Radiology, Inje University, College of Medicine, Haeundae Paik Hospital, Busan 48108, Republic of Korea.

Current oncology (Toronto, Ont.)
|August 25, 2023
PubMed
概括

深度学习算法 (DLA) 可以单独使用表面扩散系数 (ADC) 地图对临床显著的前列腺癌 (PCa) 与非癌性组织进行细分和区分. 这种人工智能方法显示了改进PCa诊断的可行性.

关键词:
格里森得分 格里森得分深度学习是一种深度学习.扩散权重成像 (DWI) 的使用.磁共振成像 (MRI) 的使用.前列腺癌是前列腺癌.

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