Merging/Filtering/Voting to Improve Segmentation of Diabetic Retinopathy Eye Fundus Lesions

Author:

Furtado Pedro1ORCID

Affiliation:

1. Fac. Ciencias e Tecnologia (FCTUC/CISUC), Universidade de Coimbra, Portugal

Funder

University of Coimbra

Publisher

ACM

Reference19 articles.

1. Indian Diabetic Retinopathy Image Dataset (IDRiD): A Database for Diabetic Retinopathy Screening Research

2. Deng , Jia, " Imagenet : A large-scale hierarchical image database." 2009 IEEE conference on computer vision and pattern recognition . Ieee , 2009 . Deng, Jia, "Imagenet: A large-scale hierarchical image database." 2009 IEEE conference on computer vision and pattern recognition. Ieee, 2009.

3. Köse , Cemal, " Simple methods for segmentation and measurement of diabetic retinopathy lesions in retinal fundus images." Computer methods and programs in biomedicine 107.2 ( 2012 ): 274-293 . Köse, Cemal, "Simple methods for segmentation and measurement of diabetic retinopathy lesions in retinal fundus images." Computer methods and programs in biomedicine 107.2 (2012): 274-293.

4. Recent Development on Detection Methods for the Diagnosis of Diabetic Retinopathy

5. Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey

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