id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-2262	Divya	Investigations of Acute Ischemic Stroke Detection Techniques from CT Images Using Machine Learning Approaches	2024	9	.pdf	application/pdf	3956	218	46	The numerous problems with tumour and stroke lesion segmentation for brain images, particularly MRI images, that have been documented in the literature include the need for many iterations, which increases computational time, the limitation to single sequence MRI inputs, decreased system efficiency, the absence of performance evaluation, variations in image intensity levels, and the absence of edge information. Brain stroke is characterised as a type of brain assault that happens when a blood vessel bursts, bleeds, or becomes obstructed, resulting in a low oxygen level in the blood.	cache/cana-2262.pdf	txt/cana-2262.txt