ArticleMultimedia systems2022
Deep learning and evolutionary intelligence with fusion-based feature extraction for detection of COVID-19 from chest X-ray images.
Article in Multimedia systems, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed.
- Integrated deep learning model for multi-label retinal disease diagnosis.Scientific reports · 2026Article
- Horse Herd Optimization with Gate Recurrent Unit for an Automatic Classification of Different Facial Skin Disease.Journal of imaging informatics in medicine · 2024Article
- Neural reshaping: the plasticity of human brain and artificial intelligence in the learning process.American journal of neurodegenerative disease · 2024Review
- Dynamic Chest Radiograph Simulation Technique with Deep Convolutional Neural Networks: A Proof-of-Concept Study.Cancers · 2023Article
- TVFx - CoVID-19 X-Ray images classification approach using neural networks based feature thresholding technique.BMC medical imaging · 2023Article
- A novel COVID diagnosis and feature extraction based on discrete wavelet model and classification using X-ray and CT images.Multimedia tools and applications · 2023Article
- Impact of quarantine on fractional order dynamical model of Covid-19.Computers in biology and medicine · 2022Article
- A fast lightweight network for the discrimination of COVID-19 and pulmonary diseases.Biomedical signal processing and control · 2022Article
- Metaheuristics based COVID-19 detection using medical images: A review.Computers in biology and medicine · 2022Review
- Article
- Analysis of Vascular Architecture and Parenchymal Damage Generated by Reduced Blood Perfusion in Decellularized Porcine Kidneys Using a Gray Level Co-occurrence Matrix.Frontiers in cardiovascular medicine · 2022Article
- Deep learning in multimedia healthcare applications: a review.Multimedia systems · 2022Article
- Sports Action Recognition Based on Deep Learning and Clustering Extraction Algorithm.Computational intelligence and neuroscience · 2022Article
- An optimal cascaded recurrent neural network for intelligent COVID-19 detection using Chest X-ray images.Applied soft computing · 2021Article
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5 authors.
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Abstract
In recent times, COVID-19 infection gets increased exponentially with the existence of a restricted number of rapid testing kits. Several studies have reported the COVID-19 diagnosis model from chest X-ray images. But the diagnosis of COVID-19 patients from chest X-ray images is a tedious process as the bilateral modifications are considered an ill-posed problem. This paper presents a new metaheuristic-based fusion model for COVID-19 diagnosis using chest X-ray images. The proposed model comprises different preprocessing, feature extraction, and classification processes. Initially, the Weiner filtering (WF) technique is used for the preprocessing of images. Then, the fusion-based feature extraction process takes place by the incorporation of gray level co-occurrence matrix (GLCM), gray level run length matrix (GLRM), and local binary patterns (LBP). Afterward, the salp swarm algorithm (SSA) selected the optimal feature subset. Finally, an artificial neural network (ANN) is applied as a classification process to classify infected and healthy patients. The proposed model's performance has been assessed using the Chest X-ray image dataset, and the results are examined under diverse aspects. The obtained results confirmed the presented model's superior performance over the state of art methods.
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