Data Mining Technique for Biomedical Image Classification
Prof. Jong-Min Park
Department of Electrical and Computer Engineering, San Diego State University
This presentation describes a data mining framework that aids in the process of
finding an optimal set of features and its application into classification and
detection of glaucoma disease from optic nerve data.
An overview of data
mining and machine learning techniques, and their application to biomedical
image classification mechanism will be introduced. Examples of early glaucoma
detection systems using machine learning will be shown.
There are problems
and issues when applying data mining to biomedical classification, including
selection and evaluation of high-dimensional features from the optic nerve data,
and several generations of optical systems.
Solutions to these issues using
novel algorithms, the experimental results, and the implementation will be
presented. The presentation will conclude with future works.
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Last update: May. 28, 2002