id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ejpam-6300	Alirr, Omar Ibrahim	Coronary Artery Segmentation in CTA Images: Evaluating Automated Segmentation of Coronary Arteries Using U-Net Variants and Vesselness Enhancement	2025	20	.pdf	application/pdf	8464	412	42	The proposed method not only improves the accuracy and efficiency of coronary artery segmentation, but also plays a crucial role in the timely diagnosis and effective treatment of cardiovascular dis- eases. Lei et al. used this idea for medical image segmentation and used attention-based deep learning networks to create an automated technique for coronary artery segmentation	cache/ejpam-6300.pdf	txt/ejpam-6300.txt