Classification of neovascularization using convolutional neural network model

The classification using Convolutional Neural Network (CNN) model and classification method such as Support Vector Machine, k-Nearest Neighbor, Naïve Bayes classifier, Discriminant Analysis, and Decision Tree. Classification of two classes includes NVE & NVD. [...]the classification was recogniz...

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Published inTelkomnika Vol. 17; no. 1; pp. 463 - 472
Main Authors Setiawan, Wahyudi, Utoyo, Moh. Imam, Rulaningtyas, Riries
Format Journal Article
LanguageEnglish
Published Yogyakarta Ahmad Dahlan University 01.02.2019
Subjects
Accuracy
Artificial neural networks
Bayesian analysis
Classification
Classifiers
Crop diseases
Datasets
Decision analysis
Decision trees
Diabetes
Diabetic retinopathy
Discriminant analysis
Family medical history
Macular degeneration
Medical imaging
Neural networks
Retina
Support vector machines
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Summary:The classification using Convolutional Neural Network (CNN) model and classification method such as Support Vector Machine, k-Nearest Neighbor, Naïve Bayes classifier, Discriminant Analysis, and Decision Tree. Classification of two classes includes NVE & NVD. [...]the classification was recognized the grade of DR. Research has not achieved maximum accuracy, so there is still a chance to get better accuracy. [...]there is a Fully Connected Layer with Softmax. Comparison of accuracy results using classification methods include Support Vector Machine (SVM), k-Nearest Neighbor (k-NN), Naive Bayes Classifier (NBC), Discriminant Analysis, and Decision Tree.
ISSN:1693-6930
2302-9293
DOI:10.12928/telkomnika.v17i1.11604