id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
cana-5234	R Ashok Kumar, Shaheda Akthar	Using Multi-Scale Features, Hierarchical and Contour Covid Bodies Can Be Extracted from Bioinformatics Images	2025	16	.pdf	application/pdf	6514	321	49	Communications on Applied Nonlinear Analysis ISSN: 1074-133X Vol 32 No. 10s (2025) 1307 https://internationalpubls.com Using Multi-Scale Features, Hierarchical and Contour Covid Bodies Can Be Extracted from Bioinformatics Images R Ashok Kumar1, Shaheda Akthar2 1 Research Scholar, Dept. of CSE, Acharya Nagarjuna University, Guntur, AP & Lecturer in Computer Science, SCIM Government College (A), Tanuku, West Godavari, AP, India 2 Dr. Shaheda Akthar, Lecturer in Computer Science, Government College for Women (A), Guntur & Research Supervisor, Dept. of CSE, Acharya Nagarjuna University, Guntur, AP Article History: Received: 12-01-2025 Revised: 15-02-2025 Accepted: 01-03-2025 Abstract: The primary objective of processing and analyzing medical covid images is to effectively extract covid body features from objects in the images, and a crucial part of this process is segmenting the bodies in the images. input: ((u_1 ) ̂(h))((u2) (̂h)), example binary mask picture, and medical covid image.	cache/cana-5234.pdf	txt/cana-5234.txt