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Updated: Jul 13, 2026

Detection of Architectural Distortion in Prior Mammograms via Analysis of Oriented Patterns
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数字病理学的分布外检测:基础模型是否会结束基于重建的方法?

Milda Pocevičiūtė1, Yifan Ding2, Ruben Bromée2

  • 1Department of Science and Technology, Linköping University, Campus Norrköping, Norrköping, SE-601 74, Sweden; Center for Medical Imaging and Visualization, Linköping University, University Hospital, Linkoping, SE-581 85, Sweden.

Computers in biology and medicine
|November 10, 2024
PubMed
概括

这项研究评估了人工智能用于数字病理学中的分布外 (OOD) 检测. 虽然AnoLDM表现有前途,但基础模型在标准数据上表现出色,但两者都在与分布转移作斗争,强调需要改进泛化.

关键词:
深度学习是一种深度学习.数字病理学数字病理学基金会模型 基金会模型潜在扩散模型的潜伏扩散模型.在分销之外的检测检测

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