MIA-3DCNN: A 3D Convolutional Neural Network for COVID-19 Detection and Severity Classification.
Igor Kenzo Ishikawa Oshiro NakashimaGiovanna VendraminiHélio PedriniPublished in: ICASSP Workshops (2023)
Keyphrases
- convolutional neural network
- face detection
- detection method
- detection accuracy
- automatic classification
- classification accuracy
- machine learning
- support vector
- object detection
- microcalcification clusters
- detection rate
- support vector machine
- feature vectors
- robust detection
- feature selection
- automatic detection
- feature extraction
- classification method
- pattern recognition
- support vector machine svm
- mammogram images
- benchmark datasets
- classification algorithm
- image classification
- classification models
- decision trees
- feature extraction and classification
- feature space
- classification systems
- classification process
- support vector machine classifier
- neural network
- neyman pearson
- learning algorithm
- features extraction
- classification rate
- classification scheme
- class labels
- machine learning algorithms
- video sequences
- object recognition
- facial expressions
- training set