- -

Fundus characterization for automatic disease screening through retinal image processing

RiuNet: Institutional repository of the Polithecnic University of Valencia

Share/Send to

Cited by

Statistics

Fundus characterization for automatic disease screening through retinal image processing

Show full item record

Morales Martínez, S. (2015). Fundus characterization for automatic disease screening through retinal image processing [Tesis doctoral]. Editorial Universitat Politècnica de València. doi:10.4995/Thesis/10251/53933

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/53933

Files in this item

Item Metadata

Title: Fundus characterization for automatic disease screening through retinal image processing
Author:
Director(s): Naranjo Ornedo, Valeriana
UPV Unit: Universitat Politècnica de València. Departamento de Ingeniería Electrónica - Departament d'Enginyeria Electrònica
Read date / Event date:
2015-07-15
Issued date:
Abstract:
[EN] The World Health Organization estimates that in 2010 there were 285 million people visually impaired in the world. It is calculated that the 80\% of these cases are preventable or treatable. In addition, aging population ...[+]


[ES] La Organización Mundial de la Salud estima que en 2010 había 285 millones de personas con alguna discapacidad visual en el mundo. Se calcula que el 80\% de estos casos son evitables o tratables. Además, el envejecimiento ...[+]


[CAT] L'Organització Mundial de la Salut estima que en 2010 havia 285 milions de persones amb alguna discapacitat visual en el món. Es calcula que el 80\% d'aquests casos són evitables o tractables. A més, l'envelliment ...[+]
Subjects: Retinal image processing , Retinal vessel segmentation , Optic disk segmentation , Fundus characterization , Hypertensive retinopathy , Diabetic retinopathy , Age-related macular degeneration , Automatic screening system
Copyrigths: Reserva de todos los derechos
ISBN: 978-84-9048-430-2
DOI: 10.4995/Thesis/10251/53933
Publisher:
Editorial Universitat Politècnica de València
Type: Tesis doctoral

This item appears in the following Collection(s)

Show full item record