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CASIA OpenIR

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基于自适应噪声的最大熵进化强化学习方法 期刊论文
自动化学报, 2023, 卷号: 49, 期号: 1, 页码: 54-66
作者:  王君逸;  王志;  李华雄;  陈春林
Adobe PDF(6435Kb)  |  收藏  |  浏览/下载：15/5  |  提交时间：2024/05/09
深度强化学习  进化策略  进化强化学习  最大熵  自适应噪声  
The pathological risk score: A new deep learning-based signature for predicting survival in cervical cancer 期刊论文
CANCER MEDICINE, 2022, 页码: 13
作者:  Chen, Chi;  Cao, Yuye;  Li, Weili;  Liu, Zhenyu;  Liu, Ping;  Tian, Xin;  Sun, Caixia;  Wang, Wuliang;  Gao, Han;  Kang, Shan;  Wang, Shaoguang;  Jiang, Jingying;  Chen, Chunlin;  Tian, Jie
收藏  |  浏览/下载：262/0  |  提交时间：2022/07/25
cervical cancer  deep learning  disease-free survival  overall survival  whole slide image  
Intraoperative near-infrared fluorescence imaging can identify pelvic nerves in patients with cervical cancer in real time during radical hysterectomy 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 9
作者:  He, Kunshan;  Li, Pengfei;  Zhang, Zeyu;  Liu, Jiaqi;  Liu, Pan;  Gong, Shipeng;  Chi, Chongwei;  Liu, Ping;  Chen, Chunlin;  Tian, Jie
收藏  |  浏览/下载：244/0  |  提交时间：2022/06/06
Near-infrared fluorescence imaging  Indocyanine green  Pelvic nerves  Radical hysterectomy  Cervical cancer  
Computed tomography-based radiomic model at node level for the prediction of normal-sized lymph node metastasis in cervical cancer 期刊论文
TRANSLATIONAL ONCOLOGY, 2021, 卷号: 14, 期号: 8, 页码: 7
作者:  Liu, Yujia;  Fan, Huijian;  Dong, Di;  Liu, Ping;  He, Bingxi;  Meng, Lingwei;  Chen, Jiaming;  Chen, Chunlin;  Lang, Jinghe;  Tian, Jie
收藏  |  浏览/下载：263/0  |  提交时间：2021/11/03
Cervical cancer  Lymph node metastasis  Radiomics  Preoperative prediction  Classifiers  
Noninvasive CT radiomic model for preoperative prediction of lymph node metastasis in early cervical carcinoma 期刊论文
BRITISH JOURNAL OF RADIOLOGY, 2020, 卷号: 93, 期号: 1108, 页码: 8
作者:  Chen, Jiaming;  He, Bingxi;  Dong, Di;  Liu, Ping;  Duan, Hui;  Li, Weili;  Li, Pengfei;  Wang, Lu;  Fan, Huijian;  Wang, Siwen;  Zhang, Liwen;  Tian, Jie;  Huang, Zhipei;  Chen, Chunlin
收藏  |  浏览/下载：249/0  |  提交时间：2020/06/02
Prediction of Response to Preoperative Neoadjuvant Chemotherapy in Locally Advanced Cervical Cancer Using Multicenter CT-Based Radiomic Analysis 期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 10
作者:  Tian, Xin;  Sun, Caixia;  Liu, Zhenyu;  Li, Weili;  Duan, Hui;  Wang, Lu;  Fan, Huijian;  Li, Mingwei;  Li, Pengfei;  Wang, Lihui;  Liu, Ping;  Tian, Jie;  Chen, Chunlin
收藏  |  浏览/下载：287/0  |  提交时间：2020/04/07
locally advanced cervical cancer (LACC)  radiomics  neoadjuvant chemotherapy  response prediction  CT  
Radiomic analysis for pretreatment prediction of response to neoadjuvant chemotherapy in locally advanced cervical cancer: A multicentre study 期刊论文
EBIOMEDICINE, 2019, 卷号: 46, 页码: 160-169
作者:  Sun, Caixia;  Tian, Xin;  Liu, Zhenyu;  Li, Weili;  Li, Pengfei;  Chen, Jiaming;  Zhang, Weifeng;  Fang, Ziyu;  Du, Peiyan;  Duan, Hui;  Liu, Ping;  Wang, Lihui;  Chen, Chunlin;  Tian, Jie
收藏  |  浏览/下载：307/0  |  提交时间：2019/12/16
Radiomics  Magnetic resonance imaging  Neoadjuvant chemotherapy  Locally advanced cervical cancer