Grading Diabetic Retinopathy Using Transfer Learning-Based Convolutional Neural Networks-Reference-Cited by-同舟云学术

Grading Diabetic Retinopathy Using Transfer Learning-Based Convolutional Neural Networks

Published:2023 Issue: Volume: Page:240-252
ISSN:0302-9743
Container-title:Computer Information Systems and Industrial Management
language:
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Author:

Escorcia-Gutierrez José^ORCID,Cuello Jose^ORCID,Gamarra Margarita^ORCID,Romero-Aroca Pere^ORCID,Caicedo Eduardo^ORCID,Valls Aida^ORCID,Puig Domenec^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-42823-4_18

Reference31 articles.

1. Romero-Aroca, P., et al.: Cost of diabetic retinopathy and macular oedema in a population, an eight year follow up. BMC Ophthalmol. 16 (2016). https://doi.org/10.1186/S12886-016-0318-X

2. Pelullo, C.P., Rossiello, R., Nappi, R., Napolitano, F., Di Giuseppe, G.: Diabetes prevention: knowledge and perception of risk among Italian population. Biomed Res Int. (2019). https://doi.org/10.1155/2019/2753131

3. Sneha, N., Gangil, T.: Analysis of diabetes mellitus for early prediction using optimal features selection. J. Big Data. https://doi.org/10.1186/s40537-019-0175-6

4. Diabetic Retinopathy | National Eye Institute. https://www.nei.nih.gov/learnabout-eye-health/eye-conditions-and-diseases/diabetic-retinopathy. Accessed 1 March 2022

5. Mathews, M.R., Anzar, S.M.: A comprehensive review on automated systems for severity grading of diabetic retinopathy and macular edema. Int. J. Imaging Syst. Technol. 31, 2093–2122 (2021). https://doi.org/10.1002/IMA.22574

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