Automated system for classifying uni-bicompartmental knee osteoarthritis by using redefined residual learning with convolutional neural network.

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Bibliographic Details
Title: Automated system for classifying uni-bicompartmental knee osteoarthritis by using redefined residual learning with convolutional neural network.
Authors: Naguib SM; Department of Information Systems, Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519, Egypt., Kassem MA; Department of Robotics and Intelligent Machines, Faculty of Artificial Intelligence, Kafrelsheikh University, Kafr el-Sheikh, Egypt., Hamza HM; Department of Information Technology, Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519, Egypt., Fouda MM; Department of Electrical and Computer Engineering, Idaho State University, Pocatello, ID, 83209, USA., Saleh MK; Department of Orthopedic Surgery, Faculty of Medicine, Zagazig University, Zagazig, 44519, Egypt., Hosny KM; Department of Information Technology, Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519, Egypt.
Source: Heliyon [Heliyon] 2024 May 14; Vol. 10 (10), pp. e31017. Date of Electronic Publication: 2024 May 14 (Print Publication: 2024).
Publication Type: Journal Article
Journal Info: Publisher: Elsevier Ltd Country of Publication: England NLM ID: 101672560 Publication Model: eCollection Cited Medium: Print ISSN: 2405-8440 (Print) Linking ISSN: 24058440 NLM ISO Abbreviation: Heliyon Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2405-8440
DOI:10.1016/j.heliyon.2024.e31017