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Automated diagnosis of maculopathy stages using texture features Cover

Automated diagnosis of maculopathy stages using texture features

International Journal of Integrated Care
Volume 13 (2013): Issue 8
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  
Open Access
|Dec 2013

Authors

C.K. Chua

mkm2@np.edu.sg

Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore

M.R.K. Mookiah

mkm2@np.edu.sg

Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore

J.E.W Koh

mkm2@np.edu.sg

Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore

U.R. Acharya

mkm2@np.edu.sg

Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore

C.M. Lim

mkm2@np.edu.sg

Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore

A. Laude

mkm2@np.edu.sg

National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore

E.Y.K. Ng

mkm2@np.edu.sg

School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore

T.A. K

mkm2@np.edu.sg

CEO, SATA CommHealth Singapore, Singapore, Singapore
DOI: https://doi.org/10.5334/ijic.1460 | Journal eISSN: 1568-4156
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Language: English
Published on: Dec 18, 2013
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
diabetic maculopathy,
texture,
computer aided diagnosis,
fuzzy classifier

© 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.

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