New attention-gated residual deep convolutional network for accurate lung segmentation in chest x-rays
Author:
Publisher
Springer Science and Business Media LLC
Subject
Control and Optimization,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
https://link.springer.com/content/pdf/10.1007/s12530-023-09516-x.pdf
Reference56 articles.
1. Aktas K et al (2022) Deep convolutional neural networks for detection of abnormalities in chest X-rays trained on the very large dataset. SIViP 17:1035–1041
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3. Arvind S, Tembhurne JV, Diwan T, Sahare P (2023) Improvised light weight deep CNN based U-Net for the semantic segmentation of lungs from chest X-rays. Results Eng 17:100929
4. Badrinarayanan V, Kendall A, Cipolla R (2017) Segnet a deep convolutional encoder–decoder architecture for image segmentation. IEEE Trans Pattern Anal Mach Intell 39(12):2481–2495
5. Bose S, Chowdhury RS, Das R (2022) Dense dilated deep Multiscale supervised U-Network for biomedical image segmentation. Comput Biol Med 143:105274
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