Chaotic Sea Horse Optimization with Deep Learning Model for lung disease pneumonia detection and classification on chest X-ray images
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s11042-024-18301-0.pdf
Reference30 articles.
1. Celik G (2023) Detection of COVID-19 and other pneumonia cases from CT and X-ray chest images using deep learning based on feature reuse residual block and depthwise dilated convolutions neural network. Appl Soft Comput 133:109906
2. Manickam A, Jiang J, Zhou Y, Sagar A, Soundrapandiyan R, Samuel RDJ (2021) Automated pneumonia detection on chest X-ray images: A deep learning approach with different optimizers and transfer learning architectures. Measurement 184:109953
3. Moussaid A, Zrira N, Benmiloud I, Farahat Z, Karmoun Y, Benzidia Y, Mouline S, El Abdi B, Bourkadi JE, Ngote N (2023) On the implementation of a post-pandemic deep learning algorithm based on a hybrid CT-Scan/X-Ray images classification applied to pneumonia categories. In: Healthcare, MDPI 11(5):662
4. Ben Atitallah S, Driss M, Boulila W, Koubaa A, Ben Ghezala H (2022) Fusion of convolutional neural networks based on Dempster–Shafer theory for automatic pneumonia detection from chest X-ray images. Int J Imaging Syst Technol 32(2):658–672
5. Xue X, Chinnaperumal S, Abdulsahib GM, Manyam RR, Marappan R, Raju SK, Khalaf OI (2023) Design and analysis of a deep learning ensemble framework model for the detection of COVID-19 and pneumonia using large-scale CT Scan and X-ray image datasets. Bioengineering 10(3):363
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