CDPNet: a radiomic feature learning method with epigenetic application to estimating MGMT promoter methylation status in glioblastoma

Radiomics has been widely recognized for its effectiveness in decoding tumor phenotypes through the extraction of quantitative imaging features. However, the robustness of radiomic methods to estimate clinically relevant biomarkers non-invasively remains largely untested. In this study, we propose C...

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Bibliographic Details
Published inProceedings of SPIE, the international society for optical engineering Vol. 12930
Main Authors Guo, Jun, Yu, Fanyang, Nasrallah, MacLean P, Davatzikos, Christos
Format Journal Article
LanguageEnglish
Published United States 01.02.2024
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