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Deep learning radiomics of ultrasonography can predict response to neoadjuvant chemotherapy in breast cancer at an early stage of treatment: a prospective study 期刊论文
EUROPEAN RADIOLOGY, 2021, 页码: 11
作者:  Gu, Jionghui;  Tong, Tong;  He, Chang;  Xu, Min;  Yang, Xin;  Tian, Jie;  Jiang, Tianan;  Wang, Kun
Adobe PDF(3007Kb)  |  收藏  |  浏览/下载：280/49  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
Multi-Focus Network to Decode Imaging Phenotype for Overall Survival Prediction of Gastric Cancer Patients 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2021, 卷号: 25, 期号: 10, 页码: 3933-3942
作者:  Zhang, Liwen;  Dong, Di;  Zhong, Lianzhen;  Li, Cong;  Hu, Chaoen;  Yang, Xin;  Liu, Zaiyi;  Wang, Rongpin;  Zhou, Junlin;  Tian, Jie
收藏  |  浏览/下载：260/0  |  提交时间：2021/12/28
Hazards  Feature extraction  Computed tomography  Cancer  Radiomics  Indexes  Bioinformatics  Overall survival  gastric cancer  multi-level  CT image  deep learning  
Gene signatures predict biochemical recurrence-free survival in primary prostate cancer patients after radical therapy 期刊论文
CANCER MEDICINE, 2021, 页码: 11
作者:  Su, Qiang;  Liu, Zhenyu;  Chen, Chi;  Gao, Han;  Zhu, Yongbei;  Wang, Liusu;  Pan, Meiqing;  Liu, Jiangang;  Yang, Xin;  Tian, Jie
收藏  |  浏览/下载：240/0  |  提交时间：2021/11/03
biochemical recurrence-free survival  gene signature  LASSO-Cox regression  primary prostate cancer  radical therapy