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Updated: Aug 7, 2026

Computed Tomography-guided Time-domain Diffuse Fluorescence Tomography in Small Animals for Localization of Cancer Biomarkers
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基于深度学习的计算机断层扫描,泌尿图像分析,用于预测膀癌中HER2状态

Panpan Jiao1,2, Rui Yang1,2, Yunxun Liu1,2

  • 1Department of Urology, Renmin Hospital of Wuhan University, Wuhan, Hubei, 430060, China.

Journal of Cancer
|November 8, 2024
PubMed
概括

这项研究引入了一种非侵入性方法,用于检测膀癌 (BCa) 中的HER2表达,使用计算机断层扫描 (CTU) 泌尿图像. 这种方法可以降低成本,并改善BCa患者的精确治疗.

关键词:
人工智能的人工智能膀癌:膀癌是一种癌症.计算机断层扫描 泌尿学 泌尿学深度学习 (Deep Learning) 是一种深度学习.在HER2中,HER2是HER2.

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