Combining morphometric features and convolutional networks fusion for glaucoma diagnosis

Oscar Perdomo, John Arevalo, Fabio A. González

Resultado de la investigación: Capítulo en Libro/Reporte/ConferenciaContribución a la conferencia

2 Citas (Scopus)

Resumen

Glaucoma is an eye condition that leads to loss of vision and blindness. Ophthalmoscopy exam evaluates the shape, color and proportion between the optic disc and physiologic cup, but the lack of agreement among experts is still the main diagnosis problem. The application of deep convolutional neural networks combined with automatic extraction of features such as: the cup-to-disc distance in the four quadrants, the perimeter, area, eccentricity, the major radio, the minor radio in optic disc and cup, in addition to all the ratios among the previous parameters may help with a better automatic grading of glaucoma. This paper presents a strategy to merge morphological features and deep convolutional neural networks as a novel methodology to support the glaucoma diagnosis in eye fundus images.

Idioma originalInglés estadounidense
Título de la publicación alojada13th International Conference on Medical Information Processing and Analysis
EditoresNatasha Lepore, Jorge Brieva, Juan David Garcia, Eduardo Romero
EditorialSPIE
ISBN (versión digital)9781510616332
DOI
EstadoPublicada - 2017
Publicado de forma externa
Evento13th International Conference on Medical Information Processing and Analysis, SIPAIM 2017 - San Andres Island, Colombia
Duración: oct 5 2017oct 7 2017

Serie de la publicación

NombreProceedings of SPIE - The International Society for Optical Engineering
Volumen10572
ISSN (versión impresa)0277-786X
ISSN (versión digital)1996-756X

Conferencia

Conferencia13th International Conference on Medical Information Processing and Analysis, SIPAIM 2017
PaísColombia
CiudadSan Andres Island
Período10/5/1710/7/17

All Science Journal Classification (ASJC) codes

  • Materiales electrónicos, ópticos y magnéticos
  • Física de la materia condensada
  • Informática aplicada
  • Matemáticas aplicadas
  • Ingeniería eléctrica y electrónica

Huella Profundice en los temas de investigación de 'Combining morphometric features and convolutional networks fusion for glaucoma diagnosis'. En conjunto forman una huella única.

Citar esto