Composite deep neural network with gated-attention mechanism for diabetic retinopathy severity classification

Author:

Bodapati Jyostna DeviORCID,Shaik Nagur Shareef,Naralasetti Veeranjaneyulu

Publisher

Springer Science and Business Media LLC

Subject

General Computer Science

Reference40 articles.

1. Akram MU, Khalid S, Khan SA (2013) Identification and classification of microaneurysms for early detection of diabetic retinopathy. Pattern Recogn 46(1):107–116

2. Akram MU, Khalid S, Tariq A, Khan SA, Azam F (2014) Detection and classification of retinal lesions for grading of diabetic retinopathy. Comput Biol Med 45:161–171

3. APTOS 2019 Blindness Detection Challenge. (n.d.). https://www.kaggle.com/c/aptos2019-blindness-detection. Accessed 30 Dec 2019

4. Bhandary SV, Rao KA (2018) Automated screening system for retinal health using bi-dimensional empirical mode decomposition and integrated index. Comput Biol Med 75:54–62

5. Bodapati JD, Veeranjaneyulu N (2019) Facial emotion recognition using deep cnn based features. Int J Innov Technol Explor Eng

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