An Empirical Model of Classifying Lung Affected Diseases to Detect COVID-19 Using Chest X-ray Employing Convolutional Neural Architecture
Ovi Sarkar(Rajshahi University of Engineering and Technology), Md Moniruzzaman(Ahsanullah University of Science and Technology), Md Tohidul Islam(University of Rajshahi), Tahmim Hossain(Rajshahi University of Engineering and Technology), Md. Robiul Islam(Rajshahi University of Engineering and Technology), Md. Khalid Syfullah(Rajshahi University of Engineering and Technology)
2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
September 13, 2022
Cited by 3
Related Papers
Applying supervised contrastive learning for the detection of diabetic retinopathy and its severity levels from fundus images
|Computers in Biology and Medicine|2022|155
Diabetic retinopathy identification using parallel convolutional neural network based feature extractor and ELM classifier
|Expert Systems with Applications|2023|129
Parallel CNN-ELM: A multiclass classification of chest X-ray images to identify seventeen lung diseases including COVID-19
|Expert Systems with Applications|2023|65