Automated wound care by employing a reliable U-Net architecture combined with ResNet feature encoders for monitoring chronic wounds.

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Bibliographic Details
Title: Automated wound care by employing a reliable U-Net architecture combined with ResNet feature encoders for monitoring chronic wounds.
Authors: Alabdulhafith M; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Ba Mahel AS; School of Life Science, University of Electronic Science and Technology of China, Chengdu, China., Samee NA; Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Mahmoud NF; Rehabilitation Sciences Department, Health and Rehabilitation Sciences College, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia., Talaat R; Biotechnology and Genetics Department, Agriculture Engineering, Ain Shams University, Cairo, Egypt., Muthanna MSA; Institute of Computer Technologies and Information Security, Southern Federal University, Taganrog, Russia., Nassef TM; Computer and Software Engineering Department, Engineering College, Misr University for Science and Technology, 6th of October, Egypt.
Source: Frontiers in medicine [Front Med (Lausanne)] 2024 Jan 31; Vol. 11, pp. 1310137. Date of Electronic Publication: 2024 Jan 31 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media S.A Country of Publication: Switzerland NLM ID: 101648047 Publication Model: eCollection Cited Medium: Print ISSN: 2296-858X (Print) Linking ISSN: 2296858X NLM ISO Abbreviation: Front Med (Lausanne) Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2296-858X
DOI:10.3389/fmed.2024.1310137