Multi-organ Segmentation Based on 2.5D Semi-supervised Learning

被引：0
|
作者：
Chen, Hao [1 ]
Zhang, Wen [1 ]
Yan, Xiaochao [1 ]
Chen, Yanbin [1 ]
Chen, Xin [1 ]
Wu, Mengjun [1 ]
Pan, Lin [1 ]
Zheng, Shaohua [1 ]
机构：
[1] Intelligent Image Processing and Analysis Laboratory, Fuzhou University, Fujian, Fuzhou,350108, China
来源：
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | 2022年 / 13816 LNCS卷
关键词：
Compilation and indexing terms; Copyright 2024 Elsevier Inc;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
Computer aided instruction - Computerized tomography - Medical imaging - Students - Supervised learning
引用
收藏
页码：74 / 86
相关论文
共 50 条
  • [1] Multi-organ Segmentation Based on 2.5D Semi-supervised Learning
    Chen, Hao
    Zhang, Wen
    Yan, Xiaochao
    Chen, Yanbin
    Chen, Xin
    Wu, Mengjun
    Pan, Lin
    Zheng, Shaohua
    FAST AND LOW-RESOURCE SEMI-SUPERVISED ABDOMINAL ORGAN SEGMENTATION, FLARE 2022, 2022, 13816 : 74 - 86
  • [2] DLUNet: Semi-supervised Learning Based Dual-Light UNet for Multi-organ Segmentation
    Lai, Haoran
    Wang, Tao
    Zhou, Shuoling
    FAST AND LOW-RESOURCE SEMI-SUPERVISED ABDOMINAL ORGAN SEGMENTATION, FLARE 2022, 2022, 13816 : 64 - 73
  • [3] Semi-Supervised Federated Multi-Organ Segmentation with Partial Labels
    Pemmaraju, R.
    Peri, N.
    MEDICAL PHYSICS, 2024, 51 (09) : 6578 - 6578
  • [4] Semi-supervised abdominal multi-organ segmentation by object-redrawing
    Cho, Min Jeong
    Lee, Jae Sung
    MEDICAL PHYSICS, 2024, 51 (11) : 8334 - 8347
  • [5] Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision
    Lee, Ho Hin
    Tang, Yucheng
    Tang, Olivia
    Xua, Yuchen
    Chen, Yunqiang
    Gao, Dashan
    Han, Shizhong
    Gao, Riqiang
    Savona, Michael R.
    Abramson, Richard G.
    Huo, Yuankai
    Landman, Bennett A.
    MEDICAL IMAGING 2020: IMAGE PROCESSING, 2021, 11313
  • [6] 2.5D U-Net for Abdominal Multi-organ Segmentation
    Lei, Ruixiang
    Yang, Mingjing
    FAST, LOW-RESOURCE, AND ACCURATE ORGAN AND PAN-CANCER SEGMENTATION IN ABDOMEN CT, FLARE 2023, 2024, 14544 : 76 - 83
  • [7] DCL-NET: DUAL CONTRASTIVE LEARNING NETWORK FOR SEMI-SUPERVISED MULTI-ORGAN SEGMENTATION
    Wen, Lu
    Feng, Zhenghao
    Hou, Yun
    Wang, Peng
    Wu, Xi
    Zhou, Jiliu
    Wang, Yan
    2024 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, ICASSP 2024, 2024, : 1876 - 1880
  • [8] Uncertainty-Guided Self-learning Framework for Semi-supervised Multi-organ Segmentation
    Alves, Natalia
    de Wilde, Bram
    FAST AND LOW-RESOURCE SEMI-SUPERVISED ABDOMINAL ORGAN SEGMENTATION, FLARE 2022, 2022, 13816 : 116 - 127
  • [9] Semi-supervised Multi-organ Segmentation with Cross Supervision Using Siamese Network
    Jia, Dengqiang
    FAST AND LOW-RESOURCE SEMI-SUPERVISED ABDOMINAL ORGAN SEGMENTATION, FLARE 2022, 2022, 13816 : 293 - 306
  • [10] Unlabeled Abdominal Multi-organ Image Segmentation Based on Semi-supervised Adversarial Training Strategy
    Pan, YuanKe
    Zhu, Jinxin
    Huang, Bingding
    FAST AND LOW-RESOURCE SEMI-SUPERVISED ABDOMINAL ORGAN SEGMENTATION, FLARE 2022, 2022, 13816 : 11 - 22
12345