Multimodal Connectivity-Guided Glioma Segmentation From Magnetic Resonance Images via Cascaded 3D Residual U-Net

被引：0
|
作者：
Sun, Xiaoyan [1 ]
Hu, Chuhan [1 ]
He, Wenhan [1 ]
Yuan, Zhenming [1 ]
Zhang, Jian [1 ]
机构：
[1] School of Information Science and Technology, Hangzhou Normal University, Hangzhou, China
来源：
International Journal of Imaging Systems and Technology | 2024年 / 34卷 / 06期
关键词：
Deep neural networks;
D O I：
10.1002/ima.23206
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [11] Sub-region Segmentation of Brain Tumors from Multimodal MRI Images Using 3D U-Net
    Ali, Ammar Alhaj
    Katta, Rasin
    Jasek, Roman
    Chramco, Bronislav
    Krayem, Said
    DATA SCIENCE AND ALGORITHMS IN SYSTEMS, 2022, VOL 2, 2023, 597 : 357 - 367
  • [12] R2U3D: Recurrent Residual 3D U-Net for Lung Segmentation
    Kadia, Dhaval D.
    Alom, Md Zahangir
    Burada, Ranga
    Nguyen, Tam, V
    Asari, Vijayan K.
    IEEE ACCESS, 2021, 9 : 88835 - 88843
  • [13] Feature Learning by Attention and Ensemble with 3D U-Net to Glioma Tumor Segmentation
    Cai, Xiaohong
    Lou, Shubin
    Shuai, Mingrui
    An, Zhulin
    BRAINLESION: GLIOMA, MULTIPLE SCLEROSIS, STROKE AND TRAUMATIC BRAIN INJURIES, BRAINLES 2021, PT II, 2022, 12963 : 68 - 79
  • [14] Fully Automatic Intervertebral Disc Segmentation Using Multimodal 3D U-Net
    Wang, Chuanbo
    Guo, Ye
    Chen, Wei
    Yu, Zeyun
    2019 IEEE 43RD ANNUAL COMPUTER SOFTWARE AND APPLICATIONS CONFERENCE (COMPSAC), VOL 1, 2019, : 730 - 739
  • [15] Fully automatic intervertebral disc segmentation using multimodal 3D U-net
    Wang, Chuanbo
    Guo, Ye
    Chen, Wei
    Yu, Zeyun
    arXiv, 2020,
  • [16] Whole Heart Segmentation from CT images Using 3D U-Net architecture
    Habijan, Marija
    Leventic, Hrvoje
    Galic, Irena
    Babin, Danilo
    PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON SYSTEMS, SIGNALS AND IMAGE PROCESSING (IWSSIP 2019), 2019, : 121 - 126
  • [17] MULTIMODAL SEGMENTATION BASED ON A NOVEL 3D U-NET DEEP LEARNING ARCHITECTURE
    Swaroopa, K. M.
    Chetty, Girija
    2021 IEEE ASIA-PACIFIC CONFERENCE ON COMPUTER SCIENCE AND DATA ENGINEERING (CSDE), 2021,
  • [18] U-Net based automatic carotid plaque segmentation from 3D ultrasound images
    Zhou, Ran
    Ma, Wei
    Fenster, Aaron
    Ding, Mingyue
    MEDICAL IMAGING 2019: COMPUTER-AIDED DIAGNOSIS, 2019, 10950
  • [19] Comparison of tissue segmentation performance between 2D U-Net and 3D U-Net on brain MR Images
    Woo, Boyeong
    Lee, Myungeun
    2021 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), 2021,
  • [20] Cascaded residual U-net for fully automatic segmentation of 3D carotid artery in high-resolution multi-contrast MR images
    Zhu, Chenglu
    Wang, Xiaoyan
    Teng, Zhongzhao
    Chen, Shengyong
    Huang, Xiaojie
    Xia, Ming
    Mao, Lizhao
    Bai, Cong
    PHYSICS IN MEDICINE AND BIOLOGY, 2021, 66 (04):
12345