Author:
Bodapati Jyostna Devi,Shaik Nagur Shareef,Naralasetti Veeranjaneyulu
Publisher
Springer Science and Business Media LLC
Subject
Electrical and Electronic Engineering,Signal Processing
Reference33 articles.
1. Aptos 2019. https://www.kaggle.com/c/aptos2019-blindness-detection. Accessed 30 Dec 2019 (2019)
2. Akram, M.U., Khalid, S., Khan, S.A.: Identification and classification of microaneurysms for early detection of diabetic retinopathy. Pattern Recognit. 46(1), 107–116 (2013)
3. Bodapati, J.D., Veeranjaneyulu, N.: Feature extraction and classification using deep convolutional neural networks. J. Cyber Secur. Mobil. 8(2), 261–276 (2019)
4. Bodapati, J.D., Veeranjaneyulu, N., Shareef, S.N., Hakak, S., Bilal, M., Maddikunta, P.K.R., Jo, O.: Blended multi-modal deep convnet features for diabetic retinopathy severity prediction. Electronics 9(6), 914 (2020)
5. Bodapati, J.D., Naralasetti, V.: Role of deep neural features vs hand crafted features for hand written digit recognition. Int. J. Recent Technol. Eng. 7, 147–152 (2019)
Cited by
58 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献