A lightweight deep learning model for mobile eye fundus image quality assessment

Image acquisition and automatic quality analysis are fundamental stages and tasks to support an accurate ocular diagnosis. In particular, when eye fundus image quality is not appropriate, it can hinder the diagnosis task performed by experts. Portable, smart-phone-based eye fundus image acquisition...

Full description

Autores:

Perdomo Charry, Oscar Julian
Gonzalez Osorio, Fabio
Perez Perez, Andrés

Tipo de recurso:

Article of investigation

Fecha de publicación:

2020

Institución:

Escuela Colombiana de Ingeniería Julio Garavito

Repositorio:

Repositorio Institucional ECI

Idioma:

eng

OAI Identifier:

oai:repositorio.escuelaing.edu.co:001/1488

Acceso en línea:

https://repositorio.escuelaing.edu.co/handle/001/1488
https://doi.org/10.1117/12.2547126

Palabra clave:

Aprendizaje profundo (Aprendizaje automático)
Calidad de imagen
Diagnóstico por imagen
Image quality
Deep Learning (Machine Learning)
Diagnostic imaging

Rights

closedAccess

License

http://purl.org/coar/access_right/c_14cb