Cargando…
Multi-task deep learning for glaucoma detection from color fundus images
Glaucoma is an eye condition that leads to loss of vision and blindness if not diagnosed in time. Diagnosis requires human experts to estimate in a limited time subtle changes in the shape of the optic disc from retinal fundus images. Deep learning methods have been satisfactory in classifying and s...
Autores principales: | Pascal, Lucas, Perdomo, Oscar J., Bost, Xavier, Huet, Benoit, Otálora, Sebastian, Zuluaga, Maria A. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9300731/ https://www.ncbi.nlm.nih.gov/pubmed/35858986 http://dx.doi.org/10.1038/s41598-022-16262-8 |
Ejemplares similares
-
A deep learning model for generating fundus autofluorescence images from color fundus photography
por: Song, Fan, et al.
Publicado: (2023) -
Glaucoma Diagnosis with Machine Learning Based on Optical Coherence Tomography and Color Fundus Images
por: An, Guangzhou, et al.
Publicado: (2019) -
Deep learning on fundus images detects glaucoma beyond the optic disc
por: Hemelings, Ruben, et al.
Publicado: (2021) -
Identification of glaucoma from fundus images using deep learning techniques
por: Ajitha, S, et al.
Publicado: (2021) -
Development of a deep residual learning algorithm to screen for glaucoma from fundus photography
por: Shibata, Naoto, et al.
Publicado: (2018)