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XpressO-Melanoma: An Explainable Deep Learning Model for the Prediction of BRAF V600 Mutation Status in Cutaneous Melanomas

2025-07-07

Abstract excerpt

<h4>ABSTRACT</h4> BRAF V600E mutations are critical oncogenic drivers in cutaneous melanoma, influencing treatment decisions and outcomes. However, conventional molecular assays face limitations, including tissue availability, cost, and access. To address this, we present an explainable deep learning model that predicts BRAF V600E mutation status directly from diagnostic whole-slide images (WSIs) of skin cutaneo...

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Literature Corpus work
b3edb7ea-d9e9-5d2f-9191-6241b722f388
DOI
10.1101/2025.07.03.662694
Open publication

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XpressO-Melanoma: An Explainable Deep Learning Model for the Prediction of BRAF V600 Mutation Status in Cutaneous MelanomasDOI 10.1101/2025.07.03.662694
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