Author:
Asham Mohammed A.,Al-Shargabi Asma A.,Al-Sabri Raeed,Meftah Ibrahim
Publisher
Springer Science and Business Media LLC
Reference67 articles.
1. Ali MU, Zafar A, Tanveer J, Khan MA, Kim SH, Alsulami MM, Lee SW (2024) Deep learning network selection and optimized information fusion for enhanced COVID-19 detection. Int J Imaging Syst Technol 34:e23001
2. Ali Z, Khan MA, Hamza A, Alzahrani AI, Alalwan N, Shabaz M, Khan F (2024) A deep learning-based x-ray imaging diagnosis system for classification of tuberculosis, COVID-19, and pneumonia traits using evolutionary algorithm. Int J Imaging Syst Technol 34:e23014
3. Franquet T (2018) Imaging of community-acquired pneumonia. J Thorac Imaging 33:282–294
4. Li Y, Zhang Z, Dai C, Dong Q, Badrigilan S (2020) Accuracy of deep learning for automated detection of pneumonia using chest X-Ray images: A systematic review and meta-analysis. Comput Biol Med 123:103898
5. Iqbal S, Qureshi AN, Aurangzeb K, Alhussein M, Haider SI, Rida I (2023) AMIAC: adaptive medical image analyzes and classification, a robust self-learning framework, Neural Comput Appl 1–29