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科研机构
自动化研究所 [19]
内容类型
期刊论文 [19]
发表日期
2023 [1]
2022 [3]
2021 [1]
2020 [6]
2019 [8]
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Artificial intelligence-based computer-aided diagnosis system supports diagnosis of lymph node metastasis in esophageal squamous cell carcinoma: A multicenter study
期刊论文
HELIYON, 2023, 卷号: 9, 期号: 3, 页码: 11
作者:
Zhang, Shuai-Tong
;
Wang, Si-Yun
;
Zhang, Jie
;
Dong, Di
;
Mu, Wei
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2023/11/16
Esophageal squamous cell carcinoma
PET/CT
Lymph node metastasis
Artificial intelligence
Deep learning for predicting major pathological response to neoadjuvant chemoimmunotherapy in non-small cell lung cancer: A multicentre study
期刊论文
EBIOMEDICINE, 2022, 卷号: 86, 页码: 13
作者:
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2023/02/22
Deep learning
Neoadjuvant chemoimmunotherapy
Major pathological response
Non-small cell lung cancer
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
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2022/12/27
Breast cancer
Neoadjuvant chemotherapy
Pathological complete response
Whole-slide image
Deep learning
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
作者:
Cheng, Zhongquan
;
Du, Yang
;
Yu, Leyi
;
Yuan, Zhu
;
Tian, Jie
收藏
  |  
浏览/下载:44/0
  |  
提交时间:2022/03/17
Noninvasive imaging
Immune checkpoint inhibitor
Combined immunotherapy
Breast cancer
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
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2021/12/28
Breast cancer
Deep learning
Neoadjuvant chemotherapy
Ultrasonography
Treatment outcome
Multiparametric MRI-based radiomics analysis for the prediction of breast tumor regression patterns after neoadjuvant chemotherapy
期刊论文
TRANSLATIONAL ONCOLOGY, 2020, 卷号: 13, 期号: 11, 页码: 8
作者:
Zhuang, Xiaosheng
;
Chen, Chi
;
Liu, Zhenyu
;
Zhang, Liulu
;
Zhou, Xuezhi
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2021/01/07
Predicting distant metastasis and chemotherapy benefit in locally advanced rectal cancer
期刊论文
NATURE COMMUNICATIONS, 2020, 卷号: 11, 期号: 1, 页码: 11
作者:
Liu, Zhenyu
;
Meng, Xiaochun
;
Zhang, Hongmei
;
Li, Zhenhui
;
Liu, Jiangang
收藏
  |  
浏览/下载:56/0
  |  
提交时间:2021/01/07
MRI-Based Deep-Learning Model for Distant Metastasis-Free Survival in Locoregionally Advanced Nasopharyngeal Carcinoma
期刊论文
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2020, 页码: 12
作者:
Zhang, Lu
;
Wu, Xiangjun
;
Liu, Jing
;
Zhang, Bin
;
Mo, Xiaokai
收藏
  |  
浏览/下载:70/0
  |  
提交时间:2020/09/07
nasopharyngeal carcinoma
deep learning
distant metastasis-free survival
induction chemotherapy
chemoradiotherapy
Radiomics-Based Preoperative Prediction of Lymph Node Status Following Neoadjuvant Therapy in Locally Advanced Rectal Cancer
期刊论文
FRONTIERS IN ONCOLOGY, 2020, 卷号: 10, 页码: 13
作者:
Zhou, Xuezhi
;
Yi, Yongju
;
Liu, Zhenyu
;
Zhou, Zhiyang
;
Lai, Bingjia
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/06/22
lymph node metastasis
prediction
neoadjuvant therapy
locally advanced rectal cancer
radiomics
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
收藏
  |  
浏览/下载:23/0
  |  
提交时间:2020/04/07
locally advanced cervical cancer (LACC)
radiomics
neoadjuvant chemotherapy
response prediction
CT
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