An adaptive early stopping technique for DenseNet169-based knee osteoarthritis detection model

• Main Authors: Al-rimy, Bander Ali Saleh, Saeed, Faisal, Al-Sarem, Mohammed, Albarrak, Abdullah M., Qasem, Sultan Noman
• Format: Article
• Language: English
• Published: Multidisciplinary Digital Publishing Institute (MDPI) 2023
• Subjects: QA75 Electronic computers. Computer science
• Online Access: http://eprints.utm.my/106569/1/BanderAliSaleh2023_AnAdaptiveEarlyStoppingTechniqueforDenseNet169.pdf; http://eprints.utm.my/106569/; http://dx.doi.org/10.3390/diagnostics13111903

Knee osteoarthritis (OA) detection is an important area of research in health informatics that aims to improve the accuracy of diagnosing this debilitating condition. In this paper, we investigate the ability of DenseNet169, a deep convolutional neural network architecture, for knee osteoarthritis d...