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Article in English | MEDLINE | ID: mdl-24111393

ABSTRACT

We introduce the experiences of the Singapore ocular imaging team, iMED, in integrating image processing and computer-aided diagnosis research with clinical practice and knowledge, towards the development of ocular image processing technologies for clinical usage with potential impact. In this paper, we outline key areas of research with their corresponding image modalities, as well as providing a systematic introduction of the datasets used for validation.


Subject(s)
Eye Diseases/diagnosis , Cataract/diagnosis , Computational Biology , Databases, Factual , Diagnosis, Computer-Assisted , Glaucoma/diagnosis , Humans , Image Processing, Computer-Assisted , Macular Degeneration/diagnosis , Myopia/diagnosis , Research , Singapore
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