Deep Learning Algorithm for Keratoconus Detection from Tomographic Maps and Corneal Biomechanics: A Diagnostic Study

Purpose To develop an artificial intelligence (AI) approach for differentiating between normal cornea, subclinical, and keratoconus (KC) using tomographic maps from Pentacam (Oculus) and corneal biomechanics from Corvis ST (Oculus). Methods A total of 1,668 tomographic (769 patients) and 611 biomech...

Volledige beschrijving

Bibliografische gegevens

Hoofdauteurs:	Wiyada Quanchareonsap, Ngamjit Kasetsuwan, Usanee Reinprayoon, Yonrawee Piyacomn, Thitima Wungcharoen, Monthira Jermjutitham
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	Wolters Kluwer Medknow Publications 2024-10-01
Reeks:	Journal of Current Ophthalmology
Onderwerpen:	artificial intelligence forme fruste keratoconus keratoconus keratoconus suspect machine learning subclinical keratoconus
Online toegang:	https://journals.lww.com/10.4103/joco.joco_18_24
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!