Deep Learning-Based Automatic Diagnosis of Keratoconus with Corneal Endothelium Image

INTRODUCTION: The primary objective of this study was to develop an end-to-end model that can accurately identify corneal endothelial cells and diagnose keratoconus based on corneal endothelial images acquired from a non-contact specular microscope. METHODS: This was a retrospective case–control stu...

Descripción completa

Detalles Bibliográficos
Autores principales: Wan, Qi, Wei, Ran, Ma, Ke, Yin, Hongbo, Deng, Ying-ping, Tang, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Healthcare 2023
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640564/
https://www.ncbi.nlm.nih.gov/pubmed/37665500
http://dx.doi.org/10.1007/s40123-023-00795-w

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10640564/
https://www.ncbi.nlm.nih.gov/pubmed/37665500
http://dx.doi.org/10.1007/s40123-023-00795-w

Ejemplares similares