A semi-supervised learning framework for micropapillary adenocarcinoma detection

被引：0
|
作者：
Yuan Gao
Yanhui Ding
Wei Xiao
Zhigang Yao
Xiaoming Zhou
Xiaodan Sui
Yanna Zhao
Yuanjie Zheng
机构：
[1] Shandong Normal University,School of Information Science and Engineering
[2] Shandong Provincial Hospital,undefined
来源：
International Journal of Computer Assisted Radiology and Surgery | 2022年 / 17卷
关键词：
Lung adenocarcinoma; Micropapillary pattern; Lung adenocarcinoma detection; Deep neural convolution network; Pathological image; Computer-aided diagnosis;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：639 / 648
页数：9
相关论文
共 50 条
  • [1] A semi-supervised learning framework for micropapillary adenocarcinoma detection
    Gao, Yuan
    Ding, Yanhui
    Xiao, Wei
    Yao, Zhigang
    Zhou, Xiaoming
    Sui, Xiaodan
    Zhao, Yanna
    Zheng, Yuanjie
    [J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2022, 17 (04) : 639 - 648
  • [2] Semi-supervised Learning Framework for UAV Detection
    Medaiyese, Olusiji O.
    Ezuma, Martins
    Lauf, Adrian P.
    Guvenc, Ismail
    [J]. 2021 IEEE 32ND ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2021,
  • [3] Learning Semi-Supervised Representation Towards a Unified Optimization Framework for Semi-Supervised Learning
    Li, Chun-Guang
    Lin, Zhouchen
    Zhang, Honggang
    Guo, Jun
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV), 2015, : 2767 - 2775
  • [4] Signet Ring Cell Detection with a Semi-supervised Learning Framework
    Li, Jiahui
    Yang, Shuang
    Huang, Xiaodi
    Da, Qian
    Yang, Xiaoqun
    Hu, Zhiqiang
    Duan, Qi
    Wang, Chaofu
    Li, Hongsheng
    [J]. INFORMATION PROCESSING IN MEDICAL IMAGING, IPMI 2019, 2019, 11492 : 842 - 854
  • [5] Semi-supervised machine learning framework for network intrusion detection
    Li, Jieling
    Zhang, Hao
    Liu, Yanhua
    Liu, Zhihuang
    [J]. JOURNAL OF SUPERCOMPUTING, 2022, 78 (11): : 13122 - 13144
  • [6] Semi-supervised machine learning framework for network intrusion detection
    Jieling Li
    Hao Zhang
    Yanhua Liu
    Zhihuang Liu
    [J]. The Journal of Supercomputing, 2022, 78 : 13122 - 13144
  • [7] A Social Spam Detection Framework via Semi-supervised Learning
    Zhang, Xianchao
    Bai, Haijun
    Liang, Wenxin
    [J]. TRENDS AND APPLICATIONS IN KNOWLEDGE DISCOVERY AND DATA MINING (PAKDD 2016), 2016, 9794 : 214 - 226
  • [8] A Semi-supervised Framework for Misinformation Detection
    Liu, Yueyang
    Boukouvalas, Zois
    Japkowicz, Nathalie
    [J]. DISCOVERY SCIENCE (DS 2021), 2021, 12986 : 57 - 66
  • [9] Semi-Supervised Learning for MIMO Detection
    Ao, Peiyan
    Li, Runhua
    Sun, Rongchao
    Xue, Jiang
    [J]. 2022 14TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING, WCSP, 2022, : 1023 - 1027
  • [10] Semi-supervised learning based distributed attack detection framework for IoT
    Rathore, Shailendra
    Park, Jong Hyuk
    [J]. APPLIED SOFT COMPUTING, 2018, 72 : 79 - 89
12345