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Automated diagnosis of maculopathy stages using texture features

Authors:

C.K. Chua ,

Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore, SG
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M.R.K. Mookiah,

Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore
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J.E.W Koh,

Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore
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U.R. Acharya,

Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore
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C.M. Lim,

Electronics and Computer Engineering, Ngee Ann Polytechnic, Singapore, Singapore
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A. Laude,

National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore
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E.Y.K. Ng,

School of Mechanical and Aerospace Engineering, Nanyang Technological University, Singapore, Singapore
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T.A. K

CEO, SATA CommHealth Singapore, Singapore, Singapore
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How to Cite: Chua CK, Mookiah MRK, Koh JEW, Acharya UR, Lim CM, Laude A, et al.. Automated diagnosis of maculopathy stages using texture features. International Journal of Integrated Care. 2013;13(8):None. DOI: http://doi.org/10.5334/ijic.1460
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Published on 18 Dec 2013.

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