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Diagnosing and grading gastric atrophy and intestinal metaplasia using semi-supervised deep learning on pathological images: development and validation study 期刊论文
GASTRIC CANCER, 2023, 页码: 12
Authors:  Fang, Shuangshuang;  Liu, Zhenyu;  Qiu, Qi;  Tang, Zhenchao;  Yang, Yang;  Kuang, Zhongsheng;  Du, Xiaohua;  Xiao, Shanshan;  Liu, Yanyan;  Luo, Yuanbin;  Gu, Liping;  Tian, Li;  Liang, Xiaoxia;  Fan, Guiling;  Zhang, Yu;  Zhang, Ping;  Zhou, Weixun;  Liu, Xiuli;  Tian, Jie;  Wei, Wei
Favorite  |  View/Download:124/0  |  Submit date:2024/02/22
Atrophic gastritis  Semi-supervised deep learning  Diagnose  The operative link for gastric intestinal metaplasia assessment  The operative link for gastritis assessment  
A multi-view co-training network for semi-supervised medical image-based prognostic prediction 期刊论文
NEURAL NETWORKS, 2023, 卷号: 164, 页码: 455-463
Authors:  Li, Hailin;  Wang, Siwen;  Liu, Bo;  Fang, Mengjie;  Cao, Runnan;  He, Bingxi;  Liu, Shengyuan;  Hu, Chaoen;  Dong, Di;  Wang, Ximing;  Wang, Hexiang;  Tian, Jie
Favorite  |  View/Download:178/0  |  Submit date:2023/11/17
Deep neural network  Medical image analysis  Prognostic prediction  Semi-supervised learning  
Semi-Supervised Segmentation of Mitochondria from Electron Microscopy Images Using Spatial Continuity 会议论文
, Kolkata, India, 28-31 March 2022
Authors:  Yunpeng Xiao SEARCH Conferences >2022 IEEE 19th International ... Semi-Supervised Segmentation of Mitochondria from Electron Microscopy Images Using Spatial Continuity Publisher: IEEE Cite This PDF Yunpeng Xiao;  Youpeng Zhao;  Ge Yang
Adobe PDF(525Kb)  |  Favorite  |  View/Download:249/69  |  Submit date:2022/06/30
Image segmentation  semi-supervised learning  deep learning  mitochondria  electron microscopy  
GPENs: Graph Data Learning With Graph Propagation-Embedding Networks 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 页码: 14
Authors:  Jiang, Bo;  Wang, Leiling;  Cheng, Jian;  Tang, Jin;  Luo, Bin
Favorite  |  View/Download:213/0  |  Submit date:2022/01/27
Task analysis  Computer architecture  Semisupervised learning  Deep learning  Laplace equations  Data models  Labeling  Graph embedding  graph neural networks (GNNs)  graph propagation  semi-supervised learning  
ImmunoAIzer: A Deep Learning-Based Computational Framework to Characterize Cell Distribution and Gene Mutation in Tumor Microenvironment 期刊论文
CANCERS, 2021, 卷号: 13, 期号: 7, 页码: 21
Authors:  Bian, Chang;  Wang, Yu;  Lu, Zhihao;  An, Yu;  Wang, Hanfan;  Kong, Lingxin;  Du, Yang;  Tian, Jie
Adobe PDF(14076Kb)  |  Favorite  |  View/Download:322/31  |  Submit date:2021/05/17
deep learning  cell distribution  biomarker  tumor gene mutation  tumor microenvironment (TME)  semi-supervised learning  hematoxylin and eosin (H&  E)  
Multimodal deep generative adversarial models for scalable doubly semi-supervised learning 期刊论文
INFORMATION FUSION, 2021, 卷号: 68, 页码: 118-130
Authors:  Du, Changde;  Du, Changying;  He, Huiguang
Adobe PDF(2917Kb)  |  Favorite  |  View/Download:238/43  |  Submit date:2021/03/29
Multiview learning  Multimodal fusion  Generative adversarial networks  Deep generative models  Semi-supervised learning  
Progressive Object Transfer Detection 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 986-1000
Authors:  Chen, Hao;  Wang, Yali;  Wang, Guoyou;  Bai, Xiang;  Qiao, Yu
Favorite  |  View/Download:290/0  |  Submit date:2020/03/30
Detectors  Object detection  Proposals  Task analysis  Benchmark testing  Deep learning  Labeling  Object detection  deep learning  transfer learning  weakly  semi-supervised detection  low-shot learning  
Deep learning provides a new computed tomography-based prognostic biomarker for recurrence prediction in high-grade serous ovarian cancer 期刊论文
Radiotherapy and Oncology, 2018, 期号: 132, 页码: 171-177
Authors:  Wang, Shuo;  Liu, Zhenyu;  Rong, Yu;  Zhou, Bin;  Bai, Yan;  Wei, Wei;  Wei, Wei;  Wang, Meiyun;  Guo, Yingkun;  Tian, Jie
View  |  Adobe PDF(1623Kb)  |  Favorite  |  View/Download:486/127  |  Submit date:2019/04/30
Deep Learning  High-grade Serous Ovarian Cancer  Recurrence  Prognosis  Computed Tomography  Artificial Intelligence  Semi-supervised Learning  Auto Encoder  Unsupervised Learning