Pneumonia Detection Proposing a Hybrid Deep Convolutional Neural Network Based on Two Parallel Visual Geometry Group Architectures and Machine Learning Classifiers.
Mohammad YaselianiAli Zeinal HamadaniAbtin Ijadi MaghsoodiAmir MosaviPublished in: IEEE Access (2022)
Keyphrases
- machine learning
- deep learning
- machine learning algorithms
- machine learning methods
- machine learning approaches
- decision trees
- deep belief networks
- supervised classification
- feature selection
- pattern recognition
- neural network
- support vector
- natural language processing
- parallel implementation
- visual information
- unsupervised feature learning
- detection method
- parallel architectures
- concept detection
- thermal images
- parallel genetic algorithm
- training data
- visual features
- training set
- text classification
- learning classifier systems
- data mining
- learning algorithm
- three dimensional
- multi core processors
- visual analysis
- detection algorithm
- feature set
- unsupervised learning
- ensemble methods
- object detection
- multiple classifiers
- support vector machine
- detection rate
- learning problems
- hierarchical models
- anomaly detection
- classification algorithm
- false positives
- naive bayes