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Predicting Prognosis and IDH Mutation Status for Patients with Lower-Grade Gliomas Using Whole Slide Images

2021-01-22

Abstract excerpt

<h4>ABSTRACT</h4> We developed end-to-end deep learning models using whole slide images of adults diagnosed with diffusely infiltrating, World Health Organization (WHO) grade 2 gliomas to predict prognosis and the mutation status of a somatic biomarker, isocitrate dehydrogenase (IDH) 1/2. The models, which utilize ResNet-18 as a backbone, were developed and validated on 296 patients from The Cancer Genome Atlas (T...

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Literature Corpus work
69b16769-a877-5b40-b46e-2d1868e57041
DOI
10.1101/2021.01.21.21250241
Open publication

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Predicting Prognosis and IDH Mutation Status for Patients with Lower-Grade Gliomas Using Whole Slide ImagesDOI 10.1101/2021.01.21.21250241
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