Automated diagnosis of maculopathy stages using texture features
By: C.K. Chua, M.R.K. Mookiah, J.E.W Koh, U.R. Acharya, C.M. Lim, A. Laude, E.Y.K. Ng and T.A. K
Authors
C.K. Chua
Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore
M.R.K. Mookiah
Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore
J.E.W Koh
Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore
U.R. Acharya
Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore
C.M. Lim
Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore
A. Laude
National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore
E.Y.K. Ng
School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
DOI: https://doi.org/10.5334/ijic.1460 | Journal eISSN: 1568-4156
Language: English
Published on: Dec 18, 2013
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
© 2013 C.K. Chua, M.R.K. Mookiah, J.E.W Koh, U.R. Acharya, C.M. Lim, A. Laude, E.Y.K. Ng, T.A. K, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.