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Updated: Jun 23, 2026

Evaluation of the Efficacy of the H. pylori Protein HP-NAP as a Therapeutic Tool for Treatment of Bladder Cancer in an Orthotopic Murine Model
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NMGrad:通过弱监督的深度学习来推进细胞病变性膀癌分级.

Saul Fuster1, Umay Kiraz2,3, Trygve Eftestøl1

  • 1Department of Electrical Engineering and Computer Science, University of Stavanger, 4021 Stavanger, Norway.

Bioengineering (Basel, Switzerland)
|September 27, 2024
PubMed
概括

这项研究引入了一种自动化管道,用于分级泌尿道癌,这是最常见的膀癌. 该模型准确地从组织学幻灯片预测癌症等级,改进了现有的方法.

关键词:
计算病理学计算病理学深度学习是一种深度学习.评分分级的评分分级.多个尺度的多个尺度尿路细胞癌是什么意思缺乏监督的学习学习.

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