Detection of Diabetic Retinopathy Using Deep Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0327-2_48
Reference29 articles.
1. Kumar S, Kumar B (2018) Diabetic retinopathy detection by extracting area and number of microaneurysms from colour fundus image. In: 2018 5th international conference on signal processing and integrated networks (SPIN), Noida, pp 359–364
2. Das D, Biswas SK, Bandyopadhyay S, Sarkar S (2020) Early detection of diabetic retinopathy using machine learning techniques: a survey on recent trends and techniques
3. Kanth S, Jaiswal A, Kakkar Kanth M, Jaiswal A, Kakkar M (2013) Identification of different stages of diabetic retinopathy using artificial neural network. In: 2013 sixth international conference on contemporary computing (IC3), Noida, pp 479–484
4. Kiresura N, Sb RI, Bharathi MA, Prathik N (2021) Automatic detection of diabetic retinopathy in fundus image: a survey. In: International conference on smart data intelligence ICSMDI
5. Chandran A, Nisha KK, Vineetha S (2016) Computer-aided approach for proliferative diabetic retinopathy detection in color retinal images. In: 2016 international conference on next generation intelligent systems (ICNGIS), Kottayam, pp 1–6
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