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Deep Learning-Based Segmentation of Oral Squamous Cell Carcinoma on Routine H&E Histopathology Images: A Single-Center Retrospective Study

2026-08-06

Abstract excerpt

<title>Abstract</title> <p> <bold>Purpose:</bold> Accurate delineation of tumor tissue in resected oral squamous cell carcinoma (OSCC) specimens is important for the assessment of histopathologic parameters such as depth of invasion and surgical margin status, which influence prognosis and treatment planning. Recent advances in artificial intelligence (AI) have enabled automated analysis of histopathology image...

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Literature Corpus work
c9ae0154-1ae0-5788-bd9e-2a3d16e19237
DOI
10.21203/rs.3.rs-10548998/v1
Open publication

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