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收藏Localized fine-tuning and clinical evaluation of deep-learning based auto-segmentation (DLAS) model for clinical target volume (CTV) and organs-at-risk (OAR) in rectal cancer radiotherapy
Geng, Jianhao; Sui, Xin; Du, Rongxu; Feng, Jialin; Wang, Ruoxi; Wang, Meijiao; Yao, Kaining; Chen, Qi; Bai, Lu; Wang, Shaobin; Li, Yongheng; Wu, Hao; Hu, Xiangmin; Du, Yi
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收藏Towards deep-learning (DL) based fully automated target delineation for rectal cancer neoadjuvant radiotherapy using a divide-and-conquer strategy: a study with multicenter blind and randomized validation
Geng, Jianhao; Zhu, Xianggao; Liu, Zhiyan; Chen, Qi; Bai, Lu; Wang, Shaobin; Li, Yongheng; Wu, Hao; Yue, Haizhen; Du, Yi
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收藏Radiation hematologic toxicity prediction for locally advanced rectal cancer using dosimetric and radiomics features使用剂量学和放射组学特征预测局部晚期直肠癌的放射血液学毒性
Yue, Haizhen; Geng, Jianhao; Gong, Liqing; Li, Yongheng; Windsor, Gabrielle; Liu, Jiacheng; Pu, Yichen; Du, Yi; Wang, Ruoxi; Wu, Hao; Jiao, Zhicheng; Bai, Harrison; Jing, Bin
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