id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
alkej-935	Al-Qazzaz, Noor Kamal ; Aldoori, Alaa A.; Hussein, Tabarak Emad; Mahdi, Massarra Mohammed; Mohd Ali, Sawal Hamid Bin; Ahmad, Siti Anom	Deep-Learning-Based Mobile Application for Detecting COVID-19	2025	15	.pdf	application/pdf	8473	508	50	[27] suggested a randomised generative adversarial network that detected COVID-19 images from known and labelled classes (normal and viral pneumonia) without labels or training data from the unknown class, with an AUC of 0.77. This study included 18,479 CXR pictures, amongst which 8851 were normal, 6012 were non-COVID lung infections, and 3616 were COVID-19 CXR images, together with their accompanying ground-truth lung masks (Figure 2).	cache/alkej-935.pdf	txt/alkej-935.txt