Segmentation for Athlete's Ankle Injury Image Using Residual Double Attention U-Net Model
Author:
Affiliation:
1. China Three Gorges University, China
2. Harbin No. 5 Middle School, China
3. Vellore Institute of Technology, India
Publisher
FapUNIFESP (SciELO)
Subject
Multidisciplinary
Link
http://www.scielo.br/scielo.php?script=sci_pdf&pid=S1516-89132023000100627&tlng=en
Reference21 articles.
1. A review on the use of deep learning for medical images segmentation;Aljabri M;Neurocomputing,2022
2. Beyond CNNs: exploiting further inherent symmetries in medical image segmentation;Pang S;Ieee T Cybernetics,2022
3. A novel multi-loss-based deep adversarial network for handling challenging cases in semi-supervised image semantic segmentation;Huang W;Pattern Recongn Lett,2021
4. Retinal vessel segmentation based on task-driven generative adversarial network;Chen Z;Let Image Process,2021
5. An effective deep network for automatic segmentation of complex lung tumors in CT images;Wang B;Med Phys,2021
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