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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
Authors:
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
Favorite
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View/Download:14/0
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Submit date:2022/12/27
Breast cancer
Neoadjuvant chemotherapy
Pathological complete response
Whole-slide image
Deep learning
Sensitive and specific detection of breast cancer lymph node metastasis through dual-modality magnetic particle imaging and fluorescence molecular imaging: a preclinical evaluation
期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2022, 页码: 12
Authors:
Wang, Guorong
;
Li, Wenzhe
;
Shi, Guangyuan
;
Tian, Yu
;
Kong, Lingyan
;
Ding, Ning
;
Lei, Jing
;
Jin, Zhengyu
;
Tian, Jie
;
Du, Yang
Favorite
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View/Download:42/0
  |  
Submit date:2022/07/25
Lymph node metastasis
Breast cancer
Magnetic particle imaging (MPI)
Fluorescence molecular imaging (FMI)
Superparamagnetic iron oxide nanoparticles (SPIOs)
Interval Type-2 Fuzzy Risk Evaluation and Prevention for Parallel Breast Cancer Treatment System
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 13
Authors:
Mo, Hong
;
Hu, Haihong
;
Hu, Jinhui
;
Li, Yuanyuan
;
Wang, Xiao
;
Wang, Fei-Yue
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View/Download:41/0
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Submit date:2022/07/25
History
Fuzzy control
Complex systems
Training
Real-time systems
Medical diagnostic imaging
Industries
ACP
breast cancer (BC)
fuzzy comprehensive evaluation
interval type-2 fuzzy sets (IT2 FSs)
Quantitative hypoxia mapping using a self-calibrated activatable nanoprobe
期刊论文
Journal of Nanobiotechnology, 2022, 卷号: 20, 期号: 1
Authors:
Feng,Xin
;
Li,Yuhao
;
Zhang,Shiyuan
;
Li,Changjian
;
Tian,Jie
Favorite
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View/Download:54/0
  |  
Submit date:2022/06/06
Hypoxia
Ratiometric imaging
Quantitative
Breast cancer
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
Favorite
  |  
View/Download:50/0
  |  
Submit date: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
Authors:
Gu, Jionghui
;
Tong, Tong
;
He, Chang
;
Xu, Min
;
Yang, Xin
;
Tian, Jie
;
Jiang, Tianan
;
Wang, Kun
Adobe PDF(3007Kb)
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View/Download:72/1
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Submit date:2021/12/28
Breast cancer
Deep learning
Neoadjuvant chemotherapy
Ultrasonography
Treatment outcome
Deep learning radiomics of ultrasonography: Identifying the risk of axillary non-sentinel lymph node involvement in primary breast cancer
期刊论文
EBIOMEDICINE, 2020, 卷号: 60, 页码: 11
Authors:
Guo, Xu
;
Liu, Zhenyu
;
Sun, Caixia
;
Zhang, Lei
;
Wang, Ying
;
Li, Ziyao
;
Shi, Jiaxin
;
Wu, Tong
;
Cui, Hao
;
Zhang, Jing
;
Tian, Jie
;
Tian, Jiawei
Favorite
  |  
View/Download:71/0
  |  
Submit date:2021/01/07
Deep learning radiomics
Ultrasonography
Primary breast cancer
Axillary management
NSLN metastasis in the axilla
Preoperative Prediction of Ancillary Lymph Node Metastasis in Breast Carcinoma Using Radiomics Features Based on the Fat-Suppressed T2 Sequence
期刊论文
ACADEMIC RADIOLOGY, 2020, 卷号: 27, 期号: 9, 页码: 1217-1225
Authors:
Tan, Hongna
;
Gan, Fuwen
;
Wu, Yaping
;
Zhou, Jing
;
Tian, Jie
;
Lin, Yusong
;
Wang, Meiyun
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View/Download:83/0
  |  
Submit date:2020/12/04
Breast cancer
Axillary lymph node
Metastasis
MRI
Radiomics
Hierarchical Fused Model With Deep Learning and Type-2 Fuzzy Learning for Breast Cancer Diagnosis
期刊论文
IEEE TRANSACTIONS ON FUZZY SYSTEMS, 2020, 卷号: 28, 期号: 12, 页码: 3204-3218
Authors:
Shen, Tianyu
;
Wang, Jiangong
;
Gou, Chao
;
Wang, Fei-Yue
Adobe PDF(3530Kb)
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View/Download:92/14
  |  
Submit date:2021/03/02
Image segmentation
Biomedical imaging
Fuzzy sets
Breast cancer
Breast cancer
deep learning (DL)
fuzzy classifier (FC)
interval type-2 possibilistic fuzzy c-means (IT2PFCM)
Synergistic triple-combination therapy with hyaluronic acid-shelled PPy/CPT nanoparticles results in tumor regression and prevents tumor recurrence and metastasis in 4T1 breast cancer
期刊论文
BIOMATERIALS, 2019, 卷号: 217, 页码: 13
Authors:
Sun, Wei
;
Du, Yang
;
Liang, Xiaolong
;
Yu, Chunyao
;
Fang, Junjie
;
Lu, Wei
;
Guo, Xiuyu
;
Tian, Jie
;
Jin, Yinhua
;
Zheng, Jianjun
Favorite
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View/Download:145/0
  |  
Submit date:2019/12/16
Breast cancer
Polypyrrole nanoparticle
Hyaluronic acid
Photothermal therapy
Triple-combination therapy