Automatic Glaucoma Detection Based on Optic Disc Segmentation and Texture Feature Extraction

Automatic Glaucoma Detection Based on Optic Disc Segmentation and Texture Feature Extraction

The use of digital image processing techniques is prominent in medical settings for the automatic diagnosis of diseases. Glaucoma is the second leading cause of blindness in the world and it has no cure. Currently, there are treatments to prevent vision loss, but the disease must be detected in the...

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Bibliographic Details
Main Authors: Maíla de Lima Claro, Leonardo de Moura Santos, Wallinson Lima e Silva, Flávio Henrique Duarte de Araújo, Nayara Holanda de Moura, André Macedo Santana
Format: Article
Language:English
Published: Centro Latinoamericano de Estudios en Informática 2016-08-01
Series:CLEI Electronic Journal
Subjects:
Classification
feature extraction
Glaucoma
segmentation
Online Access:http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/419

Internet

http://www.clei.org/cleiej-beta/index.php/cleiej/article/view/419

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