Exploring Generative Adversarial Network-Based Augmentation of Magnetic Resonance Brain Tumor Images

被引：0
|
作者：
Mahnoor, Mahnoor [1 ]
Rainio, Oona [1 ]
Klén, Riku [1 ]
机构：
[1] Turku PET Centre, University of Turku, Turku University Hospital, FI, Turku,20014, Finland
来源：
Applied Sciences (Switzerland) | 2024年 / 14卷 / 24期
关键词：
D O I：
10.3390/app142411822
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 50 条
  • [1] Generative Adversarial Network-based Synthetic Seizure Dataset Augmentation
    Guan, Yushi
    Koerner, Jamie
    Valiante, Taufik A.
    Genov, Roman
    O'Leary, Gerard
    2021 10TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING (NER), 2021, : 797 - 800
  • [2] Generative Adversarial Network-Based Restoration of Speckled SAR Images
    Wang, Puyang
    Zhang, He
    Patel, Vishal M.
    2017 IEEE 7TH INTERNATIONAL WORKSHOP ON COMPUTATIONAL ADVANCES IN MULTI-SENSOR ADAPTIVE PROCESSING (CAMSAP), 2017,
  • [3] Neural network-based segmentation of magnetic resonance images of the brain
    McMaster Univ, Hamilton, Canada
    IEEE Trans Nucl Sci, 2 (194-198):
  • [4] Neural network-based segmentation of magnetic resonance images of the brain
    Alirezaie, J
    Jernigan, ME
    Nahmias, C
    IEEE TRANSACTIONS ON NUCLEAR SCIENCE, 1997, 44 (02) : 194 - 198
  • [5] Longitudinal prediction of postnatal brain magnetic resonance images via a metamorphic generative adversarial network
    Huang, Yunzhi
    Ahmad, Sahar
    Han, Luyi
    Wang, Shuai
    Wu, Zhengwang
    Lin, Weili
    Li, Gang
    Wang, Li
    Yap, Pew-Thian
    PATTERN RECOGNITION, 2023, 143
  • [6] Magnetic Resonance Imaging Brain Tumor Segmentation Using Multiscale Ghost Generative Adversarial Network
    Zhang Muqing
    Han Yutong
    Chen Bonian
    Zhang Jianxin
    ACTA PHOTONICA SINICA, 2023, 52 (08)
  • [7] Deep learning hotspots detection with generative adversarial network-based data augmentation
    Cheng, Zeyuan
    Behdinan, Kamran
    JOURNAL OF MICRO-NANOPATTERNING MATERIALS AND METROLOGY-JM3, 2022, 21 (02):
  • [8] A generative adversarial network-based unsupervised domain adaptation method for magnetic resonance image segmentation
    Sun Y.
    Liu J.
    Sun Z.
    Han J.
    Yu N.
    Shengwu Yixue Gongchengxue Zazhi/Journal of Biomedical Engineering, 2022, 39 (06): : 1181 - 1188
  • [9] Multi-Level Deep Generative Adversarial Networks for Brain Tumor Classification on Magnetic Resonance Images
    Asiri, Abdullah A.
    Shaf, Ahmad
    Ali, Tariq
    Aamir, Muhammad
    Usman, Ali
    Irfan, Muhammad
    Alshamrani, Hassan A.
    Mehdar, Khlood M.
    Alshehri, Osama M.
    Alqhtani, Samar M.
    INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2023, 36 (01): : 127 - 143
  • [10] A novel convolutional neural network-based approach for brain tumor classification using magnetic resonance images
    Cinar, Necip
    Kaya, Mehmet
    Kaya, Buket
    INTERNATIONAL JOURNAL OF IMAGING SYSTEMS AND TECHNOLOGY, 2023, 33 (03) : 895 - 908
12345