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A radiomics and genomics-derived model for predicting metastasis and prognosis in colorectal cancer 期刊论文
CARCINOGENESIS, 2024, 页码: 11
Authors:  Li, Xue;  Wu, Meng;  Wu, Min;  Liu, Jie;  Song, Li;  Wang, Jiasi;  Zhou, Jun;  Li, Shilin;  Yang, Hang;  Zhang, Jun;  Cui, Xinwu;  Liu, Zhenyu;  Zeng, Fanxin
Favorite  |  View/Download:28/0  |  Submit date:2024/03/26
Improving prognosis and assessing adjuvant chemotherapy benefit in locally advanced rectal cancer with deep learning for MRI: A retrospective, multi-cohort study 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2023, 卷号: 188, 页码: 9
Authors:  Zhang, Song;  Cai, Guoxiang;  Xie, Peiyi;  Sun, Caixia;  Li, Bao;  Dai, Weixing;  Liu, Xiangyu;  Qiu, Qi;  Du, Yang;  Li, Zhenhui;  Liu, Zhenyu;  Tian, Jie
Favorite  |  View/Download:126/0  |  Submit date:2023/11/15
Locally advanced rectal cancer  Magnetic resonance imaging  Prognosis  Adjuvant chemotherapy  Deep learning  
基于对抗学习和治疗前后 CT 影像的食管癌同步放化疗预后预测方法研究 学位论文
, 2023
Authors:  邱淇
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食管癌  医学影像  深度学习  生成对抗网络  域自适应  
基于MRI影像的晚期鼻咽癌预后预测和诱导化疗决策的方法研究 学位论文
, 2023
Authors:  钟连珍
Adobe PDF(5057Kb)  |  Favorite  |  View/Download:152/5  |  Submit date:2023/05/19
影像组学  预后预测  治疗疗效预测  晚期鼻咽癌  磁共振成像  
基于CT影像表征学习的胃癌预后预测算法研究 学位论文
工学博士, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  王思雯
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影像组学  表征学习  胃癌  预后预测  计算机断层扫描(CT)  
基于CT影像组学的胃癌TNM分期预测算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  方梦捷
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影像组学  深度学习  胃癌  TNM 分期  计算机断层扫描  
基于多分支网络的医学声学图像重建与分析算法研究 学位论文
, 中国科学院自动化研究所: 中国科学院自动化研究所, 2022
Authors:  童同
Adobe PDF(24634Kb)  |  Favorite  |  View/Download:274/9  |  Submit date:2022/06/13
光声断层成像  超声成像  图像重建  图像分析  多分支网络  深度学习  
Development and validation of a radiopathomics model to predict pathological complete response to neoadjuvant chemoradiotherapy in locally advanced rectal cancer: a multicentre observational study 期刊论文
LANCET DIGITAL HEALTH, 2022, 卷号: 4, 期号: 1, 页码: E8-E17
Authors:  Feng, Lili;  Liu, Zhenyu;  Li, Chaofeng;  Li, Zhenhui;  Lou, Xiaoying;  Shao, Lizhi;  Wang, Yunlong;  Huang, Yan;  Chen, Haiyang;  Pang, Xiaolin;  Liu, Shuai;  He, Fang;  Zheng, Jian;  Meng, Xiaochun;  Xie, Peiyi;  Yang, Guanyu;  Ding, Yi;  Wei, Mingbiao;  Yun, Jingping;  Hung, Mien-Chie;  Zhou, Weihua;  Wahl, Dantel R.;  Lan, Ping;  Tian, Jie;  Wan, Xiangbo
Favorite  |  View/Download:236/0  |  Submit date:2022/02/16
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
Authors:  Li, Xiaoqin;  Gao, Han;  Zhu, Jian;  Huang, Yong;  Zhu, Yongbei;  Huang, Wei;  Li, Zhenjiang;  Sun, Kai;  Liu, Zhenyu;  Tian, Jie;  Li, Baosheng
Favorite  |  View/Download:244/0  |  Submit date:2021/12/28
A deep learning-based radiomic nomogram for prognosis and treatment decision in advanced nasopharyngeal carcinoma: A multicentre study 期刊论文
EBIOMEDICINE, 2021, 卷号: 70, 页码: 10
Authors:  Zhong, Lianzhen;  Dong, Di;  Fang, Xueliang;  Zhang, Fan;  Zhang, Ning;  Zhang, Liwen;  Fang, Mengjie;  Jiang, Wei;  Liang, Shaobo;  Li, Cong;  Liu, Yujia;  Zhao, Xun;  Cao, Runnan;  Shan, Hong;  Hu, Zhenhua;  Ma, Jun;  Tang, Linglong;  Tian, Jie
Adobe PDF(3679Kb)  |  Favorite  |  View/Download:373/69  |  Submit date:2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma