Deep Active Contour-Based Capsule Network for Medical Image Segmentation
Author:
Affiliation:
1. Department of CSE, Kakatiya Institute of Technology and Science (KITS), Warangal, Telangana, India
Publisher
Informa UK Limited
Subject
Electrical and Electronic Engineering,Computer Science Applications,Theoretical Computer Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/03772063.2022.2098184
Reference32 articles.
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2. S. Hong, J. Oh, H. Lee, and B. Han, “Learning transferrable knowledge for semantic segmentation with deep convolutional neural network,” In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2016,pp. 3204–3212.
3. O. Ronneberger, P. Fischer, and T. Brox. “U-net: Convolutional networks for biomedical image segmentation,” in International Conference on Medical Image Computing and Computer-Assisted Intervention, 2015, pp. 234–41.
4. J. Long, E. Shelhamer, and T. Darrell. “Fully convolutional networks for semantic segmentation,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015, pp. 3431–40.
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