Optical Coherence Tomography Image Classification Using Hybrid Deep Learning and Ant Colony Optimiza...
Optical Coherence Tomography Image Classification Using Hybrid Deep Learning and Ant Colony Optimization
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Publisher
Switzerland: MDPI AG
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English
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Switzerland: MDPI AG
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Optical coherence tomography (OCT) is widely used to detect and classify retinal diseases. However, OCT-image-based manual detection by ophthalmologists is prone to errors and subjectivity. Thus, various automation methods have been proposed; however, improvements in detection accuracy are required. Particularly, automated techniques using deep lea...
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Optical Coherence Tomography Image Classification Using Hybrid Deep Learning and Ant Colony Optimization
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TN_cdi_doaj_primary_oai_doaj_org_article_a53f11f86ace471a874b58a28072adad
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a53f11f86ace471a874b58a28072adad
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ISSN
1424-8220
E-ISSN
1424-8220
DOI
10.3390/s23156706