2019
DOI: 10.1109/access.2019.2903171
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Automated Diabetic Retinopathy Detection Based on Binocular Siamese-Like Convolutional Neural Network

Abstract: Diabetic retinopathy (DR) is an important cause of blindness worldwide. However, DR is hard to be detected in the early stages, and the diagnostic procedure can be time-consuming even for the experienced experts. Therefore, a computer-aided diagnosis method based on deep learning algorithms is proposed to automatedly diagnose the referable diabetic retinopathy by classifying color retinal fundus photographs into two grades. In this paper, a novel convolutional neural network model with the Siamese-like archite… Show more

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Cited by 236 publications
(139 citation statements)
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“…Zeng et al [67] proposed a novel Siamese-like architecture in which left and right fundus images were classified together. Siamese neural networks are networks with two parallel neural networks, and each of these networks takes different inputs.…”
Section: Paper Reviewmentioning
confidence: 99%
See 1 more Smart Citation
“…Zeng et al [67] proposed a novel Siamese-like architecture in which left and right fundus images were classified together. Siamese neural networks are networks with two parallel neural networks, and each of these networks takes different inputs.…”
Section: Paper Reviewmentioning
confidence: 99%
“…The optimizer can have a huge impact on the convergence of the training process, especially for transfer learning, as pointed out by Mohammadian et al [56] and Lam et al [62]. Four optimizers were mainly reported by the authors, namely SGD for studies [52][53][54][55][56][57][58][59][60][61][62][63][64][65] SGD with momentum for studies [56,58,59], Adam for studies [56,67,70], and RMSProp in [68]. The stochastic gradient descent optimizer (SGD) allows for a faster training process than the traditional gradient descent because it only considers, at each iteration, a subset of the training set.…”
Section: The Optimizers Usedmentioning
confidence: 99%
“…A combination of fuzzy C-means and deep CNN architectures are used in [30]. A Siamese Convolutional Neural Network is used in [31] to detect diabetic retinopathy.…”
Section: Related Workmentioning
confidence: 99%
“…Detection of lesions with the help of TL and DL methods in the DR fundus images has gained the attention of many researchers and a lot of work has been done in this direction. Recently, in [5], the authors proposed CNN model to detect RDR based on deep learning. The model proposed has a Siamese like architecture which accepts binocular fundus images as input.…”
Section: Literature Reviewmentioning
confidence: 99%