Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks.
Mihail BurdujaRadu Tudor IonescuNicolae VergaPublished in: Sensors (2020)
Keyphrases
- neural network
- pattern recognition
- recurrent neural networks
- ct images
- accurate classification
- computationally efficient
- image classification
- long short term memory
- feature selection
- detection algorithm
- feature vectors
- machine learning
- neyman pearson
- support vector machine
- feature space
- text classification
- classification accuracy
- detection method
- rule extraction
- artificial neural networks
- object detection
- neural networks and support vector machines
- decision trees
- three dimensional
- classification rules
- back propagation
- fuzzy logic
- feature extraction
- anomaly detection
- classification method
- classification algorithm
- computed tomography
- training process
- lung nodules
- support vector machine svm