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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  |  View/Download：14/0  |  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  |  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
Favorite  |  View/Download：41/0  |  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  |  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)  |  Favorite  |  View/Download：72/1  |  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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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)  |  Favorite  |  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  |  View/Download：145/0  |  Submit date：2019/12/16
Breast cancer  Polypyrrole nanoparticle  Hyaluronic acid  Photothermal therapy  Triple-combination therapy