An Adaptive Early Stopping Technique for DenseNet169-Based Knee Osteoarthritis Detection Model.
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| Title: | An Adaptive Early Stopping Technique for DenseNet169-Based Knee Osteoarthritis Detection Model. |
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| Authors: | Al-Rimy BAS; Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia., Saeed F; DAAI Research Group, Department of Computing and Data Science, School of Computing and Digital Technology, Birmingham City University, Birmingham B4 7XG, UK., Al-Sarem M; College of Computer Science and Engineering, Taibah University, Medina 41477, Saudi Arabia., Albarrak AM; Computer Science Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia., Qasem SN; Computer Science Department, College of Computer and Information Sciences, Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh 11432, Saudi Arabia. |
| Source: | Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2023 May 29; Vol. 13 (11). Date of Electronic Publication: 2023 May 29. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI AG Country of Publication: Switzerland NLM ID: 101658402 Publication Model: Electronic Cited Medium: Print ISSN: 2075-4418 (Print) Linking ISSN: 20754418 NLM ISO Abbreviation: Diagnostics (Basel) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 2075-4418 |
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| DOI: | 10.3390/diagnostics13111903 |
