Coronary Artery Disease Classification With Different Lesion Degree Ranges Based on Deep Learning.
Ariadna Jiménez-PartinenKarl Thurnhofer-HemsiJorge Rodríguez-CapitánAna I. Molina-RamosEsteban J. PalomoPublished in: IEEE Access (2024)
Keyphrases
- deep learning
- unsupervised learning
- machine learning
- coronary artery disease
- classification accuracy
- pattern recognition
- feature vectors
- feature extraction
- support vector machine svm
- feature space
- supervised learning
- image classification
- support vector
- multiscale
- model selection
- expert systems
- training samples
- weakly supervised
- coronary artery
- skin lesion
- computer vision