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Clinical Significance and Molecular Annotation of Cellular Morphometric Subtypes in Lower Grade Gliomas discovered by Machine Learning: a retrospective multicentric study

2021-08-16

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<title>Abstract</title> <p>Lower grade gliomas (LGGs) are heterogenous diseases by clinical, histological and molecular criteria. Here, we developed a machine learning pipeline to extract cellular morphometric biomarkers from whole slide images of tissue histology; and identified and externally validated robust cellular morphometric subtypes of LGGs in multi-center cohorts. The subtypes have significantly indepen...

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Literature Corpus work
e3175566-9033-5e89-b3a5-a7fa89b157e7
DOI
10.21203/rs.3.rs-770415/v2
Open publication

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Clinical Significance and Molecular Annotation of Cellular Morphometric Subtypes in Lower Grade Gliomas discovered by Machine Learning: a retrospective multicentric studyDOI 10.21203/rs.3.rs-770415/v2
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