Diagnosis of Subclinical Keratoconus Based on Machine Learning Techniques

Diagnosis of Subclinical Keratoconus Based on Machine Learning Techniques

Background: Keratoconus is a non-inflammatory corneal disease characterized by gradual thinning of the stroma, resulting in irreversible visual quality and quantity decline. Early detection of keratoconus and subsequent prevention of possible risks are crucial factors in its progression. Random fore...

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Bibliografiske detaljer
Main Authors: Castro De Luna, Gracia María, Jiménez Rodríguez, Diana, Castaño Fernández, Ana Belén, Pérez Rueda, Antonio
Format: info:eu-repo/semantics/article
Sprog:English
Udgivet: MDPI 2021
Fag:
subclinical keratoconus
deep learning
corneal topography
random forest
Online adgang:http://hdl.handle.net/10835/12363
https://doi.org/10.3390/jcm10184281

Internet

http://hdl.handle.net/10835/12363
https://doi.org/10.3390/jcm10184281

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