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Feb, 2024
自我监督学习全尺寸切片表示的框架
A self-supervised framework for learning whole slide representations
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Xinhai Hou, Cheng Jiang, Akhil Kondepudi, Yiwei Lyu, Asadur Zaman Chowdury...
TL;DR
自我监督整个切片学习(S3L)框架可以通过利用整个切片的固有区域异质性、组织学特征变异性和信息冗余性来学习高质量的整个切片表示,用于癌症诊断和基因突变预测等诊断任务,并且在两种生物医学显微镜条件下显著优于基线模型。
Abstract
whole slide imaging
is fundamental to
biomedical microscopy
and computational pathology. However, whole slide images (WSIs) present a complex computer vision challenge due to their gigapixel size, diverse histopa
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