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A Deep Learning Framework for Predicting Prognostically Relevant Consensus Molecular Subtypes in HPV-Positive Cervical Squamous Cell Carcinoma from Routine Histology Images

2024-08-19

Abstract excerpt

<h4>ABSTRACT</h4> Despite efforts in human papillomavirus (HPV) prevention and screening, cervical cancer remains the fourth most prevalent cancer among women globally. In this study, we propose an end-to-end deep learning framework to investigate histological correlates of the two consensus molecu-lar subtype (CMS) of HPV-positive cervical squamous cell carcinoma (CSCC) patients. Analysing three international CS...

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Literature Corpus work
f362181e-f257-53cb-ab29-a423c6bcd21e
DOI
10.1101/2024.08.16.608264
Open publication

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A Deep Learning Framework for Predicting Prognostically Relevant Consensus Molecular Subtypes in HPV-Positive Cervical Squamous Cell Carcinoma from Routine Histology ImagesDOI 10.1101/2024.08.16.608264
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