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Dual-stage AI system for Pathologist-Free Tumor Detection and subtyping in Oral Squamous Cell Carcinoma

2025-06-06

Abstract excerpt

<h4>Background</h4> Accurate histological grading of oral squamous cell carcinoma (OSCC) is critical for prognosis and treatment planning. Current methods lack automation for OSCC detection, subtyping, and differentiation from high-risk pre-malignant conditions like oral submucous fibrosis (OSMF). Further, analysis of whole-slide image (WSI) analysis is time-consuming and variable, limiting consistency. We presen...

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Literature Corpus work
9e10d741-abe7-55b0-969f-04ff5afe3944
DOI
10.1101/2025.06.05.25329090
Open publication

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Dual-stage AI system for Pathologist-Free Tumor Detection and subtyping in Oral Squamous Cell CarcinomaDOI 10.1101/2025.06.05.25329090
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