Evolutionary algorithm based classifier parameter tuning for automatic diabetic retinopathy grading:  A hybrid feature extraction approach

M.R.K. Mookiah; U. Rajendra Acharya; Roshan Joy Martis; Chua Kuang Chua; C.M. Lim; E.Y.K. Ng; Augustinus Laude

doi:10.1016/j.knosys.2012.09.008

Evolutionary algorithm based classifier parameter tuning for automatic diabetic retinopathy grading: A hybrid feature extraction approach

M.R.K. Mookiah (Lead / Corresponding author)
, U. Rajendra Acharya
, Roshan Joy Martis
, Chua Kuang Chua
, C.M. Lim
, E.Y.K. Ng
, Augustinus Laude

Population Health and Genomics

Research output: Contribution to journal › Article › peer-review

174 Citations (Scopus)

Original language	English
Pages (from-to)	9-22
Number of pages	14
Journal	Knowledge-Based Systems
Volume	39
Early online date	3 Oct 2012
DOIs	https://doi.org/10.1016/j.knosys.2012.09.008
Publication status	Published - Feb 2013

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1016/j.knosys.2012.09.008

Cite this

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title = "Evolutionary algorithm based classifier parameter tuning for automatic diabetic retinopathy grading: A hybrid feature extraction approach",

author = "M.R.K. Mookiah and Acharya, \{U. Rajendra\} and Martis, \{Roshan Joy\} and Chua, \{Chua Kuang\} and C.M. Lim and E.Y.K. Ng and Augustinus Laude",

year = "2013",

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doi = "10.1016/j.knosys.2012.09.008",

language = "English",

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pages = "9--22",

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T2 - A hybrid feature extraction approach

AU - Mookiah, M.R.K.

AU - Acharya, U. Rajendra

AU - Martis, Roshan Joy

AU - Chua, Chua Kuang

AU - Lim, C.M.

AU - Ng, E.Y.K.

AU - Laude, Augustinus

PY - 2013/2

Y1 - 2013/2

UR - https://www.scopus.com/pages/publications/84871922209

U2 - 10.1016/j.knosys.2012.09.008

DO - 10.1016/j.knosys.2012.09.008

M3 - Article

SN - 0950-7051

VL - 39

SP - 9

EP - 22

JO - Knowledge-Based Systems

JF - Knowledge-Based Systems

ER -

Evolutionary algorithm based classifier parameter tuning for automatic diabetic retinopathy grading: A hybrid feature extraction approach

UN SDGs

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