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iQC: machine-learning-driven prediction of surgical procedure uncovers systematic confounds of cancer whole slide images in specific medical centers

2023-09-22

Abstract excerpt

<h4>Problem</h4> The past decades have yielded an explosion of research using artificial intelligence for cancer detection and diagnosis in the field of computational pathology. Yet, an often unspoken assumption of this research is that a glass microscopy slide faithfully represents the underlying disease. Here we show systematic failure modes may dominate the slides digitized from a given medical center, such tha...

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Literature Corpus work
5e49be9a-3648-55b7-848b-23d7d8e69bfa
DOI
10.1101/2023.09.19.23295798
Open publication

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iQC: machine-learning-driven prediction of surgical procedure uncovers systematic confounds of cancer whole slide images in specific medical centersDOI 10.1101/2023.09.19.23295798
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