Diagnosis of Diabetic Retinopathy Using Deep Neural Network
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-1909-3_23
Reference13 articles.
1. Carrera EV, Gonzalez A, Carrera R (2017) Automated detection of diabetic retinopathy using SVM. In: IEEE XXIV international conference on electronics, electrical engineering and computing (INTERCON)
2. Kumar S, Kumar B (2018) Diabetic retinopathy detection by extracting area and number of microaneurysm from colour fundus image. In: 5th international conference on signal processing and integrated networks (SPIN)
3. Gandhi M, Dhanasekaran R (2013) Diagnosis of diabetic retinopathy using morphological process and SVM classifier. In: International conference on communication and signal processing
4. Bhatia K, Arora S, Tomar R (2016) Diagnosis of diabetic retinopathy using machine learning classification algorithm. In: 2nd international conference on next generation computing technologies (NGCT)
5. Xu R, Yang R, Hu H, Xi Q, Wan H, Wu Y (2019) Diabetes alters the expression of partial vasoactivators in cerebral vascular disease susceptible regions of the diabetic rat
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