id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_xd4mjaoh6ff7xcofswblgq4n2u	Antesar M. Shabut	An intelligent mobile-enabled expert system for tuberculosis disease diagnosis in real time	2018	24	.pdf	application/pdf	10137	1066	62	Keywords: Image processing; machine learning; decision support system; colourimetric tests colour detection but also can enable diagnostic disease decision using machine learning techniques. An image processing based automatic system to be implemented on mobile platform firstly requires After processing the images, the features require analysis to generate a diagnostic decision and present it The image processing technique has to be intelligent and robust for wet chemical analysis. images vary in terms of well size, camera to ELISA plate position, light exposure and mobile phone. Fig. 1: Impact of sample and camera position with respect to ELISA plate. convenient functionality on the Android platform, OpenCV was utilised to perform the data preprocessing i.e. image processing and feature extraction. Thus, a final accuracy i.e. from image processing up to TB detection on the mobile platform, of 98.4% The prediction on the mobile platform requires the performing of image processing of the 	./cache/work_xd4mjaoh6ff7xcofswblgq4n2u.pdf	./txt/work_xd4mjaoh6ff7xcofswblgq4n2u.txt