Chun-Yue Yan

Interpretable ensemble learning model using intratumoral and peritumoral multi-sequence MR-radiomics predicts high-grade cervical cancer with lymphovascular space invasion

By integrating diverse learning algorithms with multi-sequence MR radiomics (intratumoral and peritumoral) and serum biomarkers, the ENMLR demonstrates robust discriminative performance for predicting HGVI double positivity in CC.