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Journal of Translational Medicine|September 6, 2024
MRI radiomics and biological correlations for predicting axillary lymph node burden in early-stage breast cancerMinping Hong, Sijia Fan, Zeyan Xu, et al.
Chinese Journal of Cancer Research = Chung-Kuo Yen Cheng Yen Chiu|March 21, 2020
A CT-based radiomics nomogram for prediction of human epidermal growth factor receptor 2 status in patients with gastric cancerYexing Li, Zixuan Cheng, Olivier Gevaert, et al.
Precision Clinical Medicine|June 13, 2022
Combining quantitative and qualitative magnetic resonance imaging features to differentiate anorectal malignant melanoma from low rectal cancerZeyan Xu, Ke Zhao, Lujun Han, et al.
Precision Clinical Medicine|June 13, 2022
Deep learning quantified mucus-tumor ratio predicting survival of patients with colorectal cancer using whole-slide imagesKe Zhao, Lin Wu, Yanqi Huang, et al.
Clinical Cancer Research : an Official Journal of the American Association for Cancer Research|March 23, 2018
A New Approach to Predict Progression-free Survival in Stage IV EGFR-mutant NSCLC Patients with EGFR-TKI TherapyJiangdian Song, Jingyun Shi, Di Dong, et al.
Cancer Cell International|October 31, 2021
A deep learning quantified stroma-immune score to predict survival of patients with stage II-III colorectal cancerZeyan Xu, Yong Li, Yingyi Wang, et al.
Ebiomedicine|June 7, 2024
Deep learning for colorectal cancer detection in contrast-enhanced CT without bowel preparation: a retrospective, multicentre studyLisha Yao, Suyun Li, Quan Tao, et al.
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