Multiclass Diabetic Retinopathy Classification of Eye Fundus Images Small Datasets Performance Improvement – A Neuroevolution Approach-Reference-Cited by-同舟云学术

Multiclass Diabetic Retinopathy Classification of Eye Fundus Images Small Datasets Performance Improvement – A Neuroevolution Approach

Published:2023-10-16 Issue: Volume: Page:
ISSN:
Container-title:2023 XLIX Latin American Computer Conference (CLEI)
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Author:

Vázquez Noguera José Luis¹,Mello-Román Julio César¹,Pinto-Roa Diego P.¹,Gomez Santiago¹,Ayala Jordan²,Aquino-Brítez Diego²,Gardel-Sotomayor Pedro Esteban³,García-Torres Miguel⁴,Facon Jacques⁵,Castillo Benítez Veronica E.⁶,Matto Ingrid Castro⁶,Pérez-Estigarribia Pastor⁷

Affiliation:

1. Universidad Nacional de Asunción,Facultad Politécnica,San Lorenzo,Paraguay

2. Universidad Americana,Department of Computer Engineer,Asunción,Paraguay

3. Universidad Católica Nuestra Señora de la Asunción,Facultad de Ciencias y Tecnología,Hernandarías,Paraguay

4. Data Science and Big Data Lab, Universidad Pablo de Olavide,Seville,Spain

5. Universidade Federal do Espírito Santo,Department of Computer and Electronics,São Mateus,Brazil

6. Hospital de Clí nicas, Universidad Nacional de Asunción,Facultad de Ciencias Mé dicas,Department of Ophthalmology,San Lorenzo,Paraguay

7. Universidad Sudamericana,Facultad de Medicina,Pedro Juan Caballero,Paraguay

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10346085/10345779/10346184.pdf?arnumber=10346184

Reference84 articles.

1. Classification of Diabetic Retinopathy Images by Using Deep Learning Models

2. Worldwide trends in diabetes since 1980: a pooled analysis of 751 population-based studies with 4·4 million participants

3. Epidemiology of diabetic retinopathy, diabetic macular edema and related vision loss

4. Algorithms for digital image processing in diabetic retinopathy

5. EXUDATES DETECTION AND CLASSIFICATION ALGORITHM OF DIABETIC PATIENTS' RETINA IMAGES