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...

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Detalles Bibliográficos
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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Article
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

Internet

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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