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自我对比的弱监督学习框架用于使用整个幻灯片图像进行预后预测

Saul Fuster1, Farbod Khoraminia2, Julio Silva-Rodríguez3

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

PLOS digital health
|September 30, 2025
PubMed
概括

这项研究引入了一个深度学习框架,用于从组织病理图像中自动预测预后. 这种新的方法在预测膀癌复发和治疗结果方面表现有希望,突出了改善患者护理的潜力.

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相关概念视频

Light Acquisition02:16

Light Acquisition

In order to produce glucose, plants need to capture sufficient light energy. Many modern plants have evolved leaves specialized for light acquisition. Leaves can be only millimeters in width or tens of meters wide, depending on the environment. Due to competition for sunlight, evolution has driven the evolution of increasingly larger leaves and taller plants, to avoid shading by their neighbors with contaminant elaboration of root architecture and mechanisms to transport water and nutrients.