COVID-19 lung infection detection using deep learning with transfer learning and ResNet101 features extraction and selection

• Published in: Waves in random and complex media Vol. ahead-of-print; no. ahead-of-print; pp. 1 - 24
• Main Authors: Mahmood Khan, Raja Nadir, Hussain, Lal, Alluhaidan, Ala Saleh, Majid, Abdul, Lone, Kashif J., Verdiyev, Rufat, Al-Wesabi, Fahd N., Duong, Tim Q.
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 29.06.2022
• Subjects: chi-square; Convolutional neural network (CNN); COVID-19; deep learning (DL); fully connected (FC) layer; lung infection; support vector machine (SVM)

Deep learning artificial intelligent (AI) methods have potential to help improve diagnostic efficiency and accuracy for reading portable CXRs. Public datasets taken from SIRM and Kaggle repositories comprised of COVID-19 (N = 130, 975), normal (N = 138, 1525), bacterial pneumonia (N = 145, 2521), no...