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: CoRR (2020)
Keyphrases
- neural network
- pattern recognition
- ct images
- accurate classification
- classification algorithm
- neyman pearson
- classification accuracy
- recurrent neural networks
- artificial neural networks
- support vector machine
- training process
- feature extraction
- support vector
- object detection
- detection algorithm
- supervised learning
- self organizing maps
- detection method
- anomaly detection
- text classification
- image classification
- decision trees
- sequence data
- multi layer perceptron
- long short term memory
- feed forward
- back propagation
- computationally efficient
- training set
- three dimensional
- image segmentation
- feature selection
- machine learning