Modular Neural Network for Detection of Diabetic Retinopathy in Retinal Images-Reference-Cited by-同舟云学术

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Modular Neural Network for Detection of Diabetic Retinopathy in Retinal Images

Published:2018 Issue: Volume: Page:363-370
ISSN:2190-3018
Container-title:Proceedings of First International Conference on Smart System, Innovations and Computing
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Author:

Sharma Manish,Sharma Praveen,Saini Ashwini,Sharma Kirti

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-5828-8_35

Reference15 articles.

1. Meindert Niemeijer, “Retinopathy Online Challenge: Automatic Detection of Microaneurysm in Digital Color Fundus Photographs”, IEEE Transactions on Medical Imaging vol. 29, no.1, (2010)

2. Gegundez-Arias, Manuel Emilio, et al. “Inter-observer Reliability and Agreement Study on Early Diagnosis of Diabetic Retinopathy and Diabetic Macular Edema Risk.” International Conference on Bioinformatics and Biomedical Engineering. Springer International Publishing, (2016)

3. Marwan D. Saleh and C. Eswaran,: “An automated decision support system for non-proliferative diabetic retinopathy disease based on mas and has detection,” Computer methods and programs in biomedicine, vol. 108, pp. 186–196, (2012).

4. M. Tamilarasi and K. Duraiswamy, “Genetic based fuzzy seeded region growing segmentation for diabetic retinopathy images,” in Computer Communication and Informatics (ICCCI), In: 2013 International Conference on., pp. 1–5, IEEE (2013)

5. Atul Kumar, Abhishek Kumar Gaur, and Manish Srivastava,: “A segment based technique for detecting exudate from retinal fundus image,” In: Procedia Technology, vol. 6, pp. 1–9, (2012)

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1. Optic Disc Segmentation In Human Retina Images With Meta Heuristic Optimization;2022 International Conference on Artificial Intelligence of Things (ICAIoT);2022-12-29

2. Research Contributions with Algorithmic Comparison on the Diagnosis of Diabetic Retinopathy;International Journal of Image and Graphics;2020-10

3. Artificial Intelligence in Medical Science;Advances in Healthcare Information Systems and Administration;2019

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