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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Published in | Proceedings of SPIE, the international society for optical engineering Vol. 12930 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
United States
01.02.2024
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Subjects | |
Online Access | Get full text |
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