Semi-supervised and unsupervised convolutional neural networks for automated lesion segmentation in PET imaging of lymphoma

被引:0
|
作者
Yousefirizi, Fereshteh [1 ]
Ahamed, Shadab [2 ]
Joo, Hyun O. [3 ]
Bloise, Ingrid [2 ]
Saboury, Babak [4 ]
Rahmim, Arman [2 ]
机构
[1] Univ British Columbia, BCCRC, Vancouver, BC, Canada
[2] Univ British Columbia, Vancouver, BC, Canada
[3] Seoul St Marys Hosp, Seoul, South Korea
[4] NIH, Ctr Clin, Bethesda, MD 20892 USA
关键词
D O I
暂无
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
3351
引用
收藏
页数:3
相关论文
共 50 条
  • [31] Semi-supervised learning with convolutional neural networks for UAV images automatic recognition
    Amorim, Willian Paraguassu
    Tetila, Everton Castelao
    Pistori, Hemerson
    Papa, Joao Paulo
    COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2019, 164
  • [32] SEMI-SUPERVISED LEARNING VIA FEEDFORWARD-DESIGNED CONVOLUTIONAL NEURAL NETWORKS
    Chen, Yueru
    Yang, Yijing
    Zhang, Min
    Kuo, C. -C. Jay
    2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2019, : 365 - 369
  • [33] Adverse Drug Event Detection in Tweets with Semi-Supervised Convolutional Neural Networks
    Lee, Kathy
    Qadir, Ashequl
    Hasan, Sadid A.
    Datla, Vivek
    Prakash, Aaditya
    Liu, Joey
    Farri, Oladimeji
    PROCEEDINGS OF THE 26TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (WWW'17), 2017, : 705 - 714
  • [34] Semi-supervised Learning for Convolutional Neural Networks Using Mild Supervisory Signals
    Shinozaki, Takashi
    NEURAL INFORMATION PROCESSING, ICONIP 2016, PT IV, 2016, 9950 : 381 - 388
  • [35] Semi-supervised Convolutional Triplet Neural Networks for Assessing Paper Texture Similarity
    Lackey, Leah
    Grootveld, Arick
    Klein, Andrew G.
    2020 54TH ASILOMAR CONFERENCE ON SIGNALS, SYSTEMS, AND COMPUTERS, 2020, : 142 - 146
  • [36] SEMI-SUPERVISED MULTIMODALITY LEARNING WITH GRAPH CONVOLUTIONAL NEURAL NETWORKS FOR DISEASE DIAGNOSIS
    Huang, Yongxiang
    Chung, Albert C. S.
    2020 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP), 2020, : 2451 - 2455
  • [37] Unsupervised Image Segmentation using Convolutional Neural Networks for Automated Crop Monitoring
    Bhatt, Prakruti
    Sarangi, Sanat
    Pappula, Srinivasu
    ICPRAM: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS, 2019, : 887 - 893
  • [38] Weakly Supervised Fully Convolutional Network for PET Lesion Segmentation
    Afshari, S.
    BenTaieb, A.
    Mirikharaji, Z.
    Hamarneh, G.
    MEDICAL IMAGING 2019: IMAGE PROCESSING, 2019, 10949
  • [39] SEMI-SUPERVISED SKIN LESION SEGMENTATION WITH LEARNING MODEL CONFIDENCE
    Xie, Zhiqiang
    Tu, Enmei
    Zheng, Hao
    Gu, Yun
    Yang, Jie
    2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021), 2021, : 1135 - 1139
  • [40] A deep weakly semi-supervised framework for endoscopic lesion segmentation
    Shi, Yuxuan
    Wang, Hong
    Ji, Haoqin
    Liu, Haozhe
    Li, Yuexiang
    He, Nanjun
    Wei, Dong
    Huang, Yawen
    Dai, Qi
    Wu, Jianrong
    Chen, Xinrong
    Zheng, Yefeng
    Yu, Hongmeng
    MEDICAL IMAGE ANALYSIS, 2023, 90