Deep feature extraction, dimensionality reduction, and classification of medical images using combined deep learning architectures, autoencoder, and multiple machine learning models.
Ahmet Hidayet KirazFatime Oumar DjibrillahMehmet Emin YükselPublished in: Turkish J. Electr. Eng. Comput. Sci. (2023)
Keyphrases
- medical images
- deep learning
- machine learning models
- restricted boltzmann machine
- feature extraction
- unsupervised feature learning
- machine learning
- unsupervised learning
- deformable models
- deep architectures
- machine learning approaches
- region of interest
- spam filtering
- machine learning algorithms
- weakly supervised
- machine learning methods
- mental models
- principal component analysis
- feature selection
- maximum likelihood
- dimensionality reduction
- feature vectors
- similarity measure