Classification of diabetes-related retinal diseases using a deep learning approach in optical coherence tomography

Background and objectives: Spectral Domain Optical Coherence Tomography (SD-OCT) is a volumetric imaging technique that allows measuring patterns between layers such as small amounts of fluid. Since 2012, automatic medical image analysis performance has steadily increased through the use of deep lea...

Full description

Autores:

Perdomo Charry, Oscar Julian
Gonzalez Osorio, Fabio
Otalora Montenegro, Juan Sebastian
Rodriguez Alvira, Francisco Jose
Muller, Henning
Meriaudeau, Fabrice
Rios Calixto, Hernan Andrés

Tipo de recurso:

Article of investigation

Fecha de publicación:

2019

Institución:

Escuela Colombiana de Ingeniería Julio Garavito

Repositorio:

Repositorio Institucional ECI

Idioma:

eng

OAI Identifier:

oai:repositorio.escuelaing.edu.co:001/1496

Acceso en línea:

https://repositorio.escuelaing.edu.co/handle/001/1496
https://doi.org/10.1016/j.cmpb.2019.06.016

Palabra clave:

Aprendizaje - Modelos
Enfermedades de la Retina
Optical Coherence Tomography
Deep learning models
Deep Interpretability
Retinal diseases
Medical findings
La tomografía de coherencia óptica
Modelos de aprendizaje
Profundo Interpretabilidad
Enfermedades de la retina
Hallazgos médicos

Rights

closedAccess

License

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