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Prediction of Molecular Characteristics and Prognosis of Glioma by Machine Learning Using Only Hematoxylin-Eosin-Stained Images

2026-08-05

Abstract excerpt

<h4>Background: </h4> /Objectives: Recent World Health Organization (WHO) classifications of gliomas emphasize integrated molecular diagnosis, improving diagnostic precision but increasing the need for immunohistochemistry and genetic testing. As a result, increasing costs and a decrease in diagnostic rates in developing countries have become issues. Consequently, there is growing interest in the development of im...

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Literature Corpus work
71164ab5-8d35-501a-af1f-b248f8d9e833
DOI
10.20944/preprints202608.0316.v1
Open publication

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Prediction of Molecular Characteristics and Prognosis of Glioma by Machine Learning Using Only Hematoxylin-Eosin-Stained ImagesDOI 10.20944/preprints202608.0316.v1
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