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

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

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...

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Bibliographic Details
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
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Institution: Universiti Teknologi Malaysia
Language: English

Internet

http://eprints.utm.my/106569/1/BanderAliSaleh2023_AnAdaptiveEarlyStoppingTechniqueforDenseNet169.pdf
http://eprints.utm.my/106569/
http://dx.doi.org/10.3390/diagnostics13111903

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