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A multi-scale, multi-region and attention mechanism-based deep learning framework for prediction of grading in hepatocellular carcinoma 期刊论文
MEDICAL PHYSICS, 2022, 页码: 13
作者:  Wei, Jingwei;  Ji, Qian;  Gao, Yu;  Yang, Xiaozhen;  Guo, Donghui;  Gu, Dongsheng;  Yuan, Chunwang;  Tian, Jie;  Ding, Dawei
收藏  |  浏览/下载：228/0  |  提交时间：2023/03/20
computed tomography  deep learning  hepatocellular carcinoma  histopathological grading  radiomics  
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：261/46  |  提交时间：2021/12/28
Breast cancer  Deep learning  Neoadjuvant chemotherapy  Ultrasonography  Treatment outcome  
CT radiomics may predict the grade of pancreatic neuroendocrine tumors: a multicenter study 期刊论文
EUROPEAN RADIOLOGY, 2019, 卷号: 29, 期号: 12, 页码: 6880-6890
作者:  Gu, Dongsheng;  Hu, Yabin;  Ding, Hui;  Wei, Jingwei;  Chen, Ke;  Liu, Hao;  Zeng, Mengsu;  Tian, Jie
Adobe PDF(1291Kb)  |  收藏  |  浏览/下载：368/64  |  提交时间：2020/03/30
Neoplasm grading  Pancreas  Neuroendocrine tumor  Radiomics  CT