CotepRes-Net: An efficient U-Net based deep learning method of liver segmentation from Computed Tomography images
Author:
Publisher
Elsevier BV
Subject
Health Informatics,Signal Processing,Biomedical Engineering
Reference71 articles.
1. Liver segmentation: indications, techniques and future directions;Gotra;Insights Imaging,2017
2. Rdctrans u-net: A hybrid variable architecture for liver ct image segmentation;Li;Sensors,2022
3. Atlas-based multiorgan segmentation for dynamic abdominal PET;Ren;IEEE Trans. Radiat. Plasma Med. Sci.,2019
4. U-net: Convolutional networks for biomedical image segmentation;Ronneberger,2015
5. Deep learning techniques for liver and liver tumor segmentation: A review;Gul;Comput. Biol. Med.,2022
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