MTR-SDL: a soft computing based multi-tier rank model for shoulder X-ray classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-08562-6.pdf
Reference20 articles.
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2. Allioui H et al (2022) A multi-agent deep reinforcement learning approach for enhancement of COVID-19 CT image segmentation. J Pers Med 12(2):309
3. Hasoon JN et al (2021) COVID-19 anomaly detection and classification method based on supervised machine learning of chest X-ray images. Results Phys 31:105045
4. He K, Zhang X, Ren S, Sun J (2016) Identity mappings in deep residual networks. Mar 2016 (online). Available: http://arxiv.org/abs/1603.05027
5. Howard AG et al (2017) Mobilenets: efficient convolutional neural networks for mobile vision applications. arXiv preprint http://arxiv.org/abs/1704.04861
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