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Dual-stream Representation Fusion Learning for accurate medical image segmentation 期刊论文
Engineering Applications of Artificial Intelligence, 2023, 卷号: 123, 页码: 106402
作者:  Xu RT(许镕涛);  Wang CW(王常维);  Xu SB(徐士彪);  Meng WL(孟维亮);  Zhang XP(张晓鹏)
Adobe PDF(1893Kb)  |  收藏  |  浏览/下载：190/53  |  提交时间：2023/05/18
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;  Li, Wei;  Zhang, Yimin;  Zhu, Teng;  Shao, Lizhi;  Chen, Chi;  Sun, Caixia;  Qiu, Bensheng;  Bu, Hong;  Wang, Kun;  Tian, Jie
收藏  |  浏览/下载：216/0  |  提交时间：2022/12/27
Breast cancer  Neoadjuvant chemotherapy  Pathological complete response  Whole-slide image  Deep learning  
Excitation-based fully connected network for precise NIR-II fluorescence molecular tomography 期刊论文
BIOMEDICAL OPTICS EXPRESS, 2022, 卷号: 13, 期号: 12, 页码: 6284-6299
作者:  Cao, Caiguang;  Xiao, Anqi;  Cai, Meishan;  Shen, Biluo;  Guo, Lishuang;  Shi, Xiaojing;  Tian, Jie;  Hu, Zhenhua
Adobe PDF(6713Kb)  |  收藏  |  浏览/下载：264/48  |  提交时间：2023/03/20
The Detection of Divalent Iron and Reactive Oxygen Species During Ferroptosis with the Use of a Dual-Reaction Turn-On Fluorescent Probe 期刊论文
MOLECULAR IMAGING AND BIOLOGY, 2022, 页码: 12
作者:  Wang, Yueqi;  Li, Changjian;  Zhuo, Jiaming;  Hui, Hui;  Zhou, Bing;  Tian, Jie
Adobe PDF(1924Kb)  |  收藏  |  浏览/下载：299/90  |  提交时间：2022/11/14
Dual-reaction  Fe(II)  Ferroptosis  Fluorescent probes  ROS  Turn-on response  
The pathological risk score: A new deep learning-based signature for predicting survival in cervical cancer 期刊论文
CANCER MEDICINE, 2022, 页码: 13
作者:  Chen, Chi;  Cao, Yuye;  Li, Weili;  Liu, Zhenyu;  Liu, Ping;  Tian, Xin;  Sun, Caixia;  Wang, Wuliang;  Gao, Han;  Kang, Shan;  Wang, Shaoguang;  Jiang, Jingying;  Chen, Chunlin;  Tian, Jie
收藏  |  浏览/下载：218/0  |  提交时间：2022/07/25
cervical cancer  deep learning  disease-free survival  overall survival  whole slide image  
Deep learning with whole slide images can improve the prognostic risk stratification with III colorectal cancer 期刊论文
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2022, 卷号: 221, 页码: 11
作者:  Sun, Caixia;  Li, Bingbing;  Wei, Genxia;  Qiu, Weihao;  Li, Danyi;  Li, Xiangzhao;  Liu, Xiangyu;  Wei, Wei;  Wang, Shuo;  Liu, Zhenyu;  Tian, Jie;  Liang, Li
收藏  |  浏览/下载：284/0  |  提交时间：2022/07/25
Chemotherapy duration  Whole slide images  Deep learning  Colorectal cancer  Prognosis  
Data-efficient image captioning of fine art paintings via virtual-real semantic alignment training 期刊论文
Neurocomputing, 2022, 页码: 163–180
作者:  Lu Yue;  Guo Chao;  Dai Xingyuan;  Wang Fei-yue
Adobe PDF(6207Kb)  |  收藏  |  浏览/下载：212/66  |  提交时间：2022/06/16
平行艺术  绘画图像标注  
Beyond Crack: Fine-Grained Pavement Defect Segmentation Using Three-Stream Neural Networks 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2021, 卷号: /, 期号: /, 页码: /
作者:  Zhang, Yujia;  Wu, Junxian;  Li, Qianzhong;  Zhao, Xiaoguang;  Tan, Min
Adobe PDF(12585Kb)  |  收藏  |  浏览/下载：296/52  |  提交时间：2022/04/02
Fine-grained defect segmentation  Crack detection  Semantic segmentation  Pavement inspection  
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
作者:  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)  |  收藏  |  浏览/下载：333/67  |  提交时间：2021/11/03
Multi-task deep learning  Radiomic nomogram  Survival analysis  Treatment decision  Advanced nasopharyngeal carcinoma  
A Self-Supervised CNN for Particle Inspection on Optical Element 期刊论文
IEEE Transactions on Instrumentation and Measurement, 2021, 卷号: 70, 期号: 1, 页码: 1-12
作者:  Hou W(侯伟);  Tao X(陶显);  Xu D(徐德)
Adobe PDF(2721Kb)  |  收藏  |  浏览/下载：232/56  |  提交时间：2021/06/21
Inspection  Feature reuse  optical element  particle inspection  self-supervised learning  transfer learning