Cargando…
A Teleophthalmology Support System Based on the Visibility of Retinal Elements Using the CNNs
This paper proposes a teleophthalmology support system in which we use algorithms of object detection and semantic segmentation, such as faster region-based CNN (FR-CNN) and SegNet, based on several CNN architectures such as: Vgg16, MobileNet, AlexNet, etc. These are used to segment and analyze the...
Autores principales: | Calderon-Auza, Gustavo, Carrillo-Gomez, Cesar, Nakano, Mariko, Toscano-Medina, Karina, Perez-Meana, Hector, Gonzalez-H. Leon, Ana, Quiroz-Mercado, Hugo |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7287628/ https://www.ncbi.nlm.nih.gov/pubmed/32429400 http://dx.doi.org/10.3390/s20102838 |
Ejemplares similares
-
Cross View Gait Recognition Using Joint-Direct Linear Discriminant Analysis
por: Portillo-Portillo, Jose, et al.
Publicado: (2016) -
Automated Identification of Referable Retinal Pathology in Teleophthalmology Setting
por: Gao, Qitong, et al.
Publicado: (2021) -
An Early Fire Detection Algorithm Using IP Cameras
por: Millan-Garcia, Leonardo, et al.
Publicado: (2012) -
Evaluation of the effectiveness of diagnostic & management decision by teleophthalmology for retinal diseases
por: Gupta, Aditi, et al.
Publicado: (2014) -
Language barriers in teleophthalmology
por: Schmuter, Gabriella
Publicado: (2021)