Computer-aided diagnosis of keratoconus through VAE-augmented images using deep learning
Computer-aided diagnosis of keratoconus through VAE-augmented images using deep learning
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Detecting clinical keratoconus (KCN) poses a challenging and time-consuming task. During the diagnostic process, ophthalmologists are required to review demographic and clinical ophthalmic examinations in order to make an accurate diagnosis. This study aims to develop and evaluate the accuracy of deep convolutional neural network (CNN) models for t...
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Full title
Computer-aided diagnosis of keratoconus through VAE-augmented images using deep learning
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TN_cdi_doaj_primary_oai_doaj_org_article_9da325b40d084988b03480170edcf77d
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9da325b40d084988b03480170edcf77d
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ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-023-46903-5
