On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings

Title
On the development of conjunctival hyperemia computer-assisted diagnosis tools: Influence of feature selection and class imbalance in automatic gradings
Authors
Keywords
Image processing, Multi-layer perceptron, Radial basis function network, Random forests, Correlation-based feature selection, Relief, SMOReg, M5, SMOTE, Oversampling, Undersampling, Hyperemia grading
Journal
ARTIFICIAL INTELLIGENCE IN MEDICINE
Volume 71, Issue -, Pages 30-42
Publisher
Elsevier BV
Online
2016-07-02
DOI
10.1016/j.artmed.2016.06.004

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