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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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Submit date:2022/06/13
影像组学
表征学习
胃癌
预后预测
计算机断层扫描(CT)
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)
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View/Download:134/6
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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
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
Adobe PDF(5185Kb)
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Submit date:2022/06/13
影像组学
深度学习
胃癌
TNM 分期
计算机断层扫描
Application of Noninvasive Imaging to Combined Immune Checkpoint Inhibitors for Breast Cancer: Facts and Future
期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2022, 页码: 16
Authors:
Cheng, Zhongquan
;
Du, Yang
;
Yu, Leyi
;
Yuan, Zhu
;
Tian, Jie
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View/Download:52/0
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Submit date:2022/03/17
Noninvasive imaging
Immune checkpoint inhibitor
Combined immunotherapy
Breast cancer
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
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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
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View/Download:58/0
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Submit date:2021/12/28
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
Authors:
Gu, Jionghui
;
Tong, Tong
;
He, Chang
;
Xu, Min
;
Yang, Xin
;
Tian, Jie
;
Jiang, Tianan
;
Wang, Kun
Adobe PDF(3007Kb)
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Submit date:2021/12/28
Breast cancer
Deep learning
Neoadjuvant chemotherapy
Ultrasonography
Treatment outcome
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)
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Submit date:2021/11/03
Multi-task deep learning
Radiomic nomogram
Survival analysis
Treatment decision
Advanced nasopharyngeal carcinoma
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment
期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
Authors:
Bian, Chang
;
Wang, Yu
;
Lu, Zhihao
;
An, Yu
;
Wang, Hanfan
;
Kong, Lingxin
;
Du, Yang
;
Tian, Jie
Adobe PDF(14076Kb)
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Submit date:2021/05/17
deep learning
cell distribution
biomarker
tumor gene mutation
tumor microenvironment (TME)
semi-supervised learning
hematoxylin and eosin (H&
E)
Exploring the predictive value of additional peritumoral regions based on deep learning and radiomics: A multicenter study
期刊论文
MEDICAL PHYSICS, 2021, 页码: 12
Authors:
Wu, Xiangjun
;
Dong, Di
;
Zhang, Lu
;
Fang, Mengjie
;
Zhu, Yongbei
;
He, Bingxi
;
Ye, Zhaoxiang
;
Zhang, Minming
;
Zhang, Shuixing
;
Tian, Jie
Adobe PDF(3862Kb)
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Submit date:2021/05/06
deep learning
peritumor
radiomics