中文版 | English

在结果中检索

CASIA OpenIR

浏览/检索结果: 共5条，第1-5条 帮助

限定条件    
已选(0)清除 条数/页：   排序方式：
Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer : A multicenter study 期刊论文
BREAST, 2022, 卷号: 66, 页码: 183-190
作者:  Li, Bao;  Li, Fengling;  Liu, Zhenyu;  Xu, FangPing;  Ye, Guolin;  Li, Wei;  Zhang, Yimin;  Zhu, Teng;  Shao, Lizhi;  Chen, Chi;  Sun, Caixia;  Qiu, Bensheng;  Bu, Hong;  Wang, Kun;  Tian, Jie
收藏  |  浏览/下载：283/0  |  提交时间：2022/12/27
Breast cancer  Neoadjuvant chemotherapy  Pathological complete response  Whole-slide image  Deep learning  
Deep learning with whole slide images can improve the prognostic risk stratification with III colorectal cancer 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 221, 页码: 11
作者:  Sun, Caixia;  Li, Bingbing;  Wei, Genxia;  Qiu, Weihao;  Li, Danyi;  Li, Xiangzhao;  Liu, Xiangyu;  Wei, Wei;  Wang, Shuo;  Liu, Zhenyu;  Tian, Jie;  Liang, Li
收藏  |  浏览/下载：490/0  |  提交时间：2022/07/25
Chemotherapy duration  Whole slide images  Deep learning  Colorectal cancer  Prognosis  
3D Deep Learning Model for the Pretreatment Evaluation of Treatment Response in Esophageal Carcinoma: A Prospective Study (ChiCTR2000039279) 期刊论文
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2021, 卷号: 111, 期号: 4, 页码: 926-935
作者:  Li, Xiaoqin;  Gao, Han;  Zhu, Jian;  Huang, Yong;  Zhu, Yongbei;  Huang, Wei;  Li, Zhenjiang;  Sun, Kai;  Liu, Zhenyu;  Tian, Jie;  Li, Baosheng
收藏  |  浏览/下载：272/0  |  提交时间：2021/12/28
Radiologist-like artificial intelligence for grade group prediction of radical prostatectomy for reducing upgrading and downgrading from biopsy 期刊论文
THERANOSTICS, 2020, 卷号: 10, 期号: 22, 页码: 10200-10212
作者:  Shao, Lizhi;  Yan, Ye;  Liu, Zhenyu;  Ye, Xiongjun;  Xia, Haizhui;  Zhu, Xuehua;  Zhang, Yuting;  Zhang, Zhiying;  Chen, Huiying;  He, Wei;  Liu, Cheng;  Lu, Min;  Huang, Yi;  Ma, Lulin;  Sun, Kai;  Zhou, Xuezhi;  Yang, Guanyu;  Lu, Jian;  Tian, Jie
收藏  |  浏览/下载：307/0  |  提交时间：2021/03/02
prostate cancer  Gleason grade groups  deep reinforcement learning  prostate cancer grading  magnetic resonance imaging  
Development of a Deep Learning Model to Identify Lymph Node Metastasis on Magnetic Resonance Imaging in Patients With Cervical Cancer 期刊论文
JAMA NETWORK OPEN, 2020, 卷号: 3, 期号: 7, 页码: 13
作者:  Wu, Qingxia;  Wang, Shuo;  Zhang, Shuixing;  Wang, Meiyun;  Ding, Yingying;  Fang, Jin;  Qian, Wei;  Liu, Zhenyu;  Sun, Kai;  Jin, Yan;  Ma, He;  Tian, Jie
收藏  |  浏览/下载：311/0  |  提交时间：2020/09/07