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Computer-aided diagnosis of keratoconus through VAE-augmented images using deep learning
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 de...
Autores principales: | Agharezaei, Zhila, Firouzi, Reza, Hasanzadeh, Samira, Zarei-Ghanavati, Siamak, Bahaadinbeigy, Kambiz, Golabpour, Amin, Akbarzadeh, Reyhaneh, Agharezaei, Laleh, Bakhshali, Mohamad Amin, Sedaghat, Mohammad Reza, Eslami, Saeid |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10667539/ https://www.ncbi.nlm.nih.gov/pubmed/37996439 http://dx.doi.org/10.1038/s41598-023-46903-5 |
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