Optic Disc Detection Based on Saliency Detection and Attention Convolutional Neural Networks
Author:
Affiliation:
1. College of Information Science and Engineering, Northeastern University
2. Faculty of Robot Science and Engineering, Northeastern University
Publisher
Institute of Electronics, Information and Communications Engineers (IEICE)
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Signal Processing
Link
https://www.jstage.jst.go.jp/article/transfun/E104.A/9/E104.A_2020EAL2122/_pdf
Reference14 articles.
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2. [2] M.I. Ahmed and M.A. Amin, “High speed detection of optical disc in retinal fundus image,” Signal Image and Video Processing, vol.9, no.1, pp.77-85, 2015. 10.1007/s11760-012-0412-3
3. [3] N. Asiri, M. Hussain, F. Al Adel, and N. Alzaidi, “Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey,” Artif. Intell. Med., vol.99, no.101701, 2019. 10.1016/j.artmed.2019.07.009
4. [4] Y. Gao, C. Wu, X. Yu, W. Zhou, and J. Wu, “Full-automatic optic disc boundary extraction based on active contour model with multiple Energies” IEICE Trans. Fundamentals, vol.E101-A, no.3, pp.658-661, 2018. 10.1587/transfun.e101.a.658
5. [5] S. Lu and J. Lim, “Automatic optic disc detection from retinal images by a Line operator,” IEEE Trans. Biomed. Eng., vol.58, no.1, pp.88-94, 2011. 10.1109/tbme.2010.2086455
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