Comparative Analysis of Brain Tumor Image Segmentation Performance of 2D U-Net and 3D U-Nets with Alternative Normalization Methods
Author:
Funder
Gachon University
Ministry of Trade, Industry & Energy
Publisher
Korea Multimedia Society - English Version Journal
Link
http://www.jmis.org/download/download_pdf?doi=10.33851/JMIS.2024.11.2.157
Reference26 articles.
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4. O. Ronneberger, P. Fischer, and T. Brox, “U-net: Convolutional networks for biomedical image segmentation,” in Medical Image Computing and Computer-Assisted Intervention–MICCAI 2015: 18th International Conference, Munich, Germany, Oct. 2015. 10.1007/978-3-319-24574-4_28
5. S. Niyas, S. Pawan, M. A. Kumar, and J. Rajan, “Medical image segmentation with 3D convolutional neural networks: A survey,” Neurocomputing, vol. 493, pp. 397-413, 2022. 10.1016/j.neucom.2022.04.065
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