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OMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained Slides

2024-10-11

Abstract excerpt

<title>Abstract</title> <p>Mitotic activity is an important feature for grading several cancer types. Counting mitotic figures (MFs) is a time-consuming, laborious task prone to inter-observer variation. Inaccurate recognition of MFs can lead to incorrect grading and hence potential suboptimal treatment. In this study, we propose an artificial intelligence (AI)-aided approach to detect MFs in digitised haematoxyl...

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Literature Corpus work
6e32d11d-e984-5d2d-8fb3-eac33c5a33d1
DOI
10.21203/rs.3.rs-4848443/v1
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OMG-Net: A Deep Learning Framework Deploying Segment Anything to Detect Pan-Cancer Mitotic Figures from Haematoxylin and Eosin-Stained SlidesDOI 10.21203/rs.3.rs-4848443/v1
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