Deep semi-supervised learning for brain tumor classification

被引：0
|
作者：
Chenjie Ge
Irene Yu-Hua Gu
Asgeir Store Jakola
Jie Yang
机构：
[1] Dept. of Electrical Engineering,
[2] Chalmers Univ. of Technoloogy,undefined
[3] Sahlgrenska University Hospital and Inst. of Neuroscience and Physiology,undefined
[4] Sahlgrenska Academy,undefined
[5] Inst. of Image Processing and Pattern Recognition,undefined
[6] Shanghai Jiao Tong Univ.,undefined
来源：
BMC Medical Imaging | / 20卷
关键词：
Glioma; Molecular-based brain tumor classification; Grading; MRI; Semi-supervised learning; Deep learning;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [31] Semi-Supervised Deep Learning for Microcontroller Performance Screening
    Bellarmino, Nicolo
    Cantoro, Riccardo
    Huch, Martin
    Kilian, Tobias
    Schlichtmann, Ulf
    Squillero, Giovanni
    2023 IEEE EUROPEAN TEST SYMPOSIUM, ETS, 2023,
  • [32] Semi-supervised learning for ABUS tumor detection using deep learning method
    Li, Yanfeng
    Zhang, Zilu
    Cheng, Zhanyi
    Cheng, Lin
    Chen, Xin
    IET IMAGE PROCESSING, 2023, 17 (07) : 2113 - 2126
  • [33] A semi-supervised deep learning approach for vessel trajectory classification based on AIS data
    Duan, Hongda
    Ma, Fei
    Miao, Lixin
    Zhang, Canrong
    OCEAN & COASTAL MANAGEMENT, 2022, 218
  • [34] Deep Low-Density Separation for Semi-supervised Classification
    Burkhart, Michael C.
    Shan, Kyle
    COMPUTATIONAL SCIENCE - ICCS 2020, PT III, 2020, 12139 : 297 - 311
  • [35] Semi-supervised learning for question classification in CQA
    Yiyang Li
    Lei Su
    Jun Chen
    Liwei Yuan
    Natural Computing, 2017, 16 : 567 - 577
  • [36] A review of semi-supervised learning for text classification
    José Marcio Duarte
    Lilian Berton
    Artificial Intelligence Review, 2023, 56 : 9401 - 9469
  • [37] Safe semi-supervised learning for pattern classification
    Ma, Jun
    Yu, Guolin
    Xiong, Weizhi
    Zhu, Xiaolong
    ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2023, 121
  • [38] Semi-supervised learning for question classification in CQA
    Li, Yiyang
    Su, Lei
    Chen, Jun
    Yuan, Liwei
    NATURAL COMPUTING, 2017, 16 (04) : 567 - 577
  • [39] A review of semi-supervised learning for text classification
    Duarte, Jose Marcio
    Berton, Lilian
    ARTIFICIAL INTELLIGENCE REVIEW, 2023, 56 (09) : 9401 - 9469
  • [40] SEMI-SUPERVISED LEARNING FOR MARS IMAGERY CLASSIFICATION
    Wang, Wenjing
    Lin, Lilang
    Fan, Zejia
    Liu, Baying
    2021 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2021, : 499 - 503
12345