A Dynamic Approach of Eye Disease Classification Using Deep Learning and Machine Learning Model-Reference-Cited by-同舟云学术

A Dynamic Approach of Eye Disease Classification Using Deep Learning and Machine Learning Model

Published:2022 Issue: Volume: Page:719-736
ISSN:2367-4512
Container-title:Proceedings of Data Analytics and Management
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Author:

Pahuja Rahul,Sisodia Udit,Tiwari Abhishek,Sharma Siddharth,Nagrath Preeti

Publisher

Springer Nature Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-16-6289-8_59

Reference37 articles.

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2. Acharya UR, Kannathal N, Ng EYK, Min LC, Suri JS (2006) Computer-based classification of eye diseases. In: 2006 international conference of the IEEE Engineering in Medicine and Biology Society, New York, NY, 2006, pp 6121–6124.https://doi.org/10.1109/IEMBS.2006.260211

3. Karegowda A, Nasiha A, Jayaram MA, Manjunath A (2011) Exudates detection in retinal images using back propagation neural network. Int J Comput Appl 25. https://doi.org/10.5120/3011-4062

4. Kandan RP, Aruna P (2012) SVM and neural network-based diagnosis of diabetic retinopathy. Int J Comput Appl 41:6–12. https://doi.org/10.5120/5503-7503

5. Yang M, Yang J-J, Zhang Q, Niu Y, Li J (2013) Classification of retinal image for automatic cataract detection. In: IEEE international conference on e-health networking, applications & services, 2013, pp 674–679

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