Computer aided diagnosis of diabetic retinopathy using multi-resolution analysis and feature ranking frame work

Muthu Rama Krishnan Mookiah; Chua Kuang Chua; Lim Choo Min; E.Y.K. Ng; Augustinus Laude

doi:10.1166/jmihi.2013.1210

Computer aided diagnosis of diabetic retinopathy using multi-resolution analysis and feature ranking frame work

Muthu Rama Krishnan Mookiah
, Chua Kuang Chua
, Lim Choo Min
, E.Y.K. Ng
, Augustinus Laude

Population Health and Genomics

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

15 Citations (Scopus)

Original language	English
Pages (from-to)	598-606
Number of pages	9
Journal	Journal of Medical Imaging and Health Informatics
Volume	3
Issue number	4
DOIs	https://doi.org/10.1166/jmihi.2013.1210
Publication status	Published - 1 Dec 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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10.1166/jmihi.2013.1210

Cite this

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AU - Mookiah, Muthu Rama Krishnan

AU - Chua, Chua Kuang

AU - Min, Lim Choo

AU - Ng, E.Y.K.

AU - Laude, Augustinus

PY - 2013/12/1

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JF - Journal of Medical Imaging and Health Informatics

IS - 4

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Computer aided diagnosis of diabetic retinopathy using multi-resolution analysis and feature ranking frame work

UN SDGs

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