PSO Optimized CNN-SVM Architecture for Covid -19 Classification
Article Sidebar
Main Article Content
Abstract
This paper presents a hybrid model that utilizes PSO particle swarm optimization, Convolution Neural Networks (CNN) and (SVM) Support Vector Machine architecture for recognition of Covid19.The planned model extracts optimized structures with particle swarm optimization then passes to Convolution Neural Network for automatic feature extraction, while the SVM serves as a Multi classifier. The dataset comprises Covid 19, Pneumonia and Normal Chest X-Ray pictures used to hone and evaluate the suggested algorithm. The most distinct traits are automatically extracted by the algorithm from these photographs. Experimental results show that the suggested framework is effective, with an average recognition accuracy of 97.42%.The most successful SVM Kernel was RBF.
Article Details
References
V. Venugopal, J. Joseph, M. Vipin Das, M. Kumar Nath, An EfficientNet-basedmodified sigmoid transform for enhancing dermatological macro-images ofmelanoma and nevi skin lesions, Comput. Methods Programs Biomed. 222 (2022)106935doi https://doi.org/10.1016/j.cmpb.2022.106935
E. Benmalek, J. Elmhamdi, A. Jilbab, Comparing CT scan and chest X-ray imagingfor COVID-19 diagnosis, Biomed. Eng. Adv.1 (2021) 100003, https://doi.org/10.1016/j.bea.2021.100003
J. Kennedy, R. Eberhart, Particle swarm optimization, in: Proceedings of ICNN’95- international Conference on Neural Networks, vol. 4, IEEE, 1995, pp. 1942–1948.
dugganikeerthana, vipinvenugopal, Malaya kumarnath, madhusudhanmishra, “Hybrid Convolutional neural networks with SVM classifier for classification of skin cancer, Biomedical Engineering Advances 5 (2023) 100069doi : https://doi.org/10.1016/j.bea.2022.100069
Arman Haghanifar, MahdiyarMolahasaniMajdabadi · Younhee Choi, S. Deivalakshmi · Seokbum Ko, COVID-CXNet: Detecting COVID-19 in frontal chest X-ray images using deep learning, Multimedia Tools and Applications (2022) 81:30615–30645, https://doi.org/10.1007/s11042-022-12156-z
M.K. Pandit, S.A. Banday, R. Naaz, M.A. Chisti, “Automatic detection of Covid-19 from chest radiography using deep learning. Radiography 27 (2021), 483-489. Doi:
https://doi.org/10.1016/j.radi.2020.10.018
Sarki R, Ahmed K, Wang H, Zhang Y,
Wang K (2022) Automated detection of COVID-19through convolutional neural network using chestx-ray images. PLoS ONE 17(1): e0262052. https://doi.org/10.1371/journal.pone.0262052
EmtiazHussain , Mahmudul Hasan , Md Anisur Rahman , Ickjai Lee , Tasmi Tamanna ,Mohammad Zavid Parvez,” CoroDet: A deep learning based classification for COVID-19 detectionusing chest X-ray images”, Chaos, Solitons and Fractals 142 (2021) 110495
doi :https://doi.org/10.1016/j.chaos.2020.110495
Ahmed S. Elkorany, Zeinab F Elsharkawy,COVIDetection-Net: A tailored COVID-19 detection from chestradiography images using deep learning”,Optik - International Journal for Light and Electron Optics 231 (2021)166405,
doi :https://doi.org/10.1016/j.ijleo.2021.166405
Mahmoud Ragab, SamahAlshehri,Nabil A. Alhakamy ,Romany F. Mansour,and Deepika Koundal,” Multiclass Classification of Chest X-Ray Images for thePrediction of COVID-19 Using Capsule Network,” Computational Intelligence and Neuroscience, Volume 2022, Article ID 6185013, 8 pages doi : https://doi.org/10.1155/2022/6185013
Tianbu Wu, Chen Tang, Min Xu, Nian Hong, Zhenkun Lei, ULNet for the detection of coronavirus (COVID-19) from chest X-ray images,” Computers in Biology and Medicine 137 (2021) 104834” doi : https://doi.org/10.1016/j.compbiomed.2021.104834
Anubhav Sharma, Karamjeet Singh, Deepika Koundal,"A novel fusion based convolutional nerural network approach for classification of Covid 19 from chest X -ray images",Biomedical Signal Processing and Control 77(2022) 103778
doi ;https://doi.org/10.1016/j.bspc.2022.103778
Abhijit Bhattacharya, DivyanshuBhaik, Sunil Kumar, Prayas Thakur, Rahul Sharma, Ram Bilas Pachori, “A deep learning based approach for automatic detection of COVID-19 cases using chest X-ray images” https://doi.org/10.1016/j.bspc.2021.103182
Gaurav Srivastava, Aninditaa Chauhan, Mahesh Jangid, Sandeep Chaurasia,”CovixNet: A Novel and efficient deep learning model for detection of Covid-19 using chest X-Ray images.”Biomedical Signal Processing and Control 78 (2022) 103848