Paper Talk

1255-Multi-Omics Framework for Colorectal Cancer Prognosis


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This research introduces a deep learning radiomics model (DLRM) designed to improve survival predictions for colorectal cancer (CRC) patients by analyzing CT imaging. By evaluating over one hundred machine learning combinations, researchers developed a risk stratification system that effectively categorizes patients into high- and low-risk groups across multiple clinical centers. Beyond imaging, t...去小宇宙查看完整单集简介
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Paper TalkBy 淼淼Elva