Laterality Classification of Fundus Images Using Interpretable Deep Neural Network

Author:

Jang Yeonwoo,Son Jaemin,Park Kyu Hyung,Park Sang Jun,Jung Kyu-Hwan

Funder

National Research Foundation of Korea

Publisher

Springer Science and Business Media LLC

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference12 articles.

1. Jaya T, Dheeba J, Singh NA: Detection of hard exudates in colour fundus images using fuzzy support vector machine-based expert system. J Digit Imaging 28(6):761–768, 2015

2. Oloumi F, Rangayyan RM, Ells AL: Computer-aided diagnosis of proliferative diabetic retinopathy via modeling of the major temporal arcade in retinal fundus images. J Digit Imaging 26(6):1124–1130, 2013

3. Group, E.T.D.R.S.R: Grading diabetic retinopathy from stereoscopic color fundus photographs--an extension of the modified Airlie house classification. ETDRS report number 10. Early treatment diabetic retinopathy study research group. Ophthalmology 98(5 Suppl):786–806, 1991

4. Krizhevsky, A.a.S., Ilya and Hinton, Geoffrey E, Imagenet classification with deep convolutional neural networks, in Advances in Neural Information Processing Systems. 2012. p. 1097–1105.

5. Ulyanov, D.a.V., Andrea and Lempitsky, victor, Instance normalization: The missing ingredient for fast stylization. arXiv preprint arXiv:1607.08022, 2016.

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