这篇文章详细介绍了TriPath，这是一个用于分析3D病理学样本的深度学习平台，旨在预测临床结果，特别是前列腺癌的生化复发。该研究强调，利用3D组织体积 进行预后分析，例如使用开放式光片显微镜 (OTLS) 或微型计算机断层扫描 (microCT) 采集的图像，优于传统的2D切片 方法和病理学家基线，因为它能更好地捕获 组织异质性 并减轻 采样偏差。TriPath采用弱监督学习方法，无需详细的手动注释即可处理巨大的千兆体素数据集，并提供可解释性工具来识别与风险相关的3D形态学特征，从而展示了计算3D病理学在临床应用中的巨大潜力。References: Song A H, Williams M, Williamson D F K, et al. Analysis of 3D pathology samples using weakly supervised AI[J]. Cell, 2024, 187(10): 2502-2520. e17.
No persons identified in this episode.
This episode hasn't been transcribed yet
Help us prioritize this episode for transcription by upvoting it.
Popular episodes get transcribed faster
Other recent transcribed episodes
Transcribed and ready to explore now
Trump $82 Million Bond Spree, Brazil Tariffs 'Too High,' More
16 Nov 2025
Bloomberg News Now
Ex-Fed Gov Resigned After Rules Violations, Trump Buys $82 Mil of Bonds, More
16 Nov 2025
Bloomberg News Now
THIS TRUMP INTERVIEW WAS INSANE!
16 Nov 2025
HasanAbi
Epstein Emails and Trump's Alleged Involvement
15 Nov 2025
Conspiracy Theories Exploring The Unseen
New Epstein Emails Directly Implicate Trump - H3 Show #211
15 Nov 2025
H3 Podcast
Trump Humiliates Himself on FOX as They Call Him Out
15 Nov 2025
IHIP News