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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：44/0  |  Submit date：2022/12/27
Breast cancer  Neoadjuvant chemotherapy  Pathological complete response  Whole-slide image  Deep learning  
Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study 期刊论文
CANCER, 2022, 页码: 11
Authors:  Gu, Jionghui;  Tong, Tong;  Xu, Dong;  Cheng, Fang;  Fang, Chengyu;  He, Chang;  Wang, Jing;  Wang, Baohua;  Yang, Xin;  Wang, Kun;  Tian, Jie;  Jiang, Tian'an
Favorite  |  View/Download：0/0  |  Submit date：2023/03/20
breast cancer  deep learning  lymph node metastasis  neoadjuvant chemotherapy  pathologic complete response  treatment decision  ultrasonography  
Adaptive and Maladaptive Brain Functional Network Reorganization After Stroke in Hemianopia Patients: An Electroencephalogram-Tracking Study 期刊论文
Brain Connect, 2022, 卷号: 12, 期号: 8, 页码: 725-739
Authors:  Jiahua Xu;  Mircea Ariel Schoenfeld;  Paolo M. Rossini;  Turgut Tatlisumak;  Andreas Nürnberger;  Andrea Antal;  Huiguang He;  Ying Gao;  Bernhard A. Sabel
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brain connectivity  brain connectome  brain network reorganization  occipital stroke  plasticity  stroke  visual cortex  visual field  visio  
SOFTGAN: TOWARDS ACCURATE LUNG NODULE SEGMENTATION VIA SOFT MASK SUPERVISION 会议论文
, Virtual, July 18-22, 2022
Authors:  Changwei Wang;  Rongtao Xu;  Shibiao Xu;  Weiliang Meng;  Jun Xiao;  Qimin Peng;  Xiaopeng Zhang
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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
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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
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影像组学  深度学习  胃癌  TNM 分期  计算机断层扫描  
Deep learning-based AI model for signet-ring cell carcinoma diagnosis and chemotherapy response prediction in gastric cancer 期刊论文
MEDICAL PHYSICS, 2022, 页码: 12
Authors:  Li, Cong;  Qin, Yun;  Zhang, Wei-Han;  Jiang, Hanyu;  Song, Bin;  Bashir, Mustafa R.;  Xu, Heng;  Duan, Ting;  Fang, Mengjie;  Zhong, Lianzhen;  Meng, Lingwei;  Dong, Di;  Hu, Zhenhua;  Tian, Jie;  Hu, Jian-Kun
Adobe PDF(1878Kb)  |  Favorite  |  View/Download：83/6  |  Submit date：2022/03/17
chemotherapy  deep learning  diagnosis  signet-ring cell carcinoma  survival  
Video Polyp Segmentation: A Deep Learning Perspective 期刊论文
Machine Intelligence Research, 2022, 卷号: 19, 期号: 6, 页码: 531-549
Authors:  Ge-Peng Ji
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Video polyp segmentation (VPS)  dataset  self-attention  colonoscopy  abdomen  
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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Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma 期刊论文
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2021, 页码: 13
Authors:  An, Chao;  Li, Dongyang;  Li, Sheng;  Li, Wangzhong;  Tong, Tong;  Liu, Lizhi;  Jiang, Dongping;  Jiang, Linling;  Ruan, Guangying;  Hai, Ning;  Fu, Yan;  Wang, Kun;  Zhuo, Shuiqing;  Tian, Jie
Adobe PDF(2925Kb)  |  Favorite  |  View/Download：89/7  |  Submit date：2021/12/28
Lymph node metastases  Pancreatic ductal adenocarcinoma  Deep learning  Dual-energy computed tomography  Prognosis