An autonomous and intelligent hybrid CNN-RNN-LSTM based approach for the detection and classification of abnormalities in brain.
Priyanka DattaRajesh RohillaPublished in: Multim. Tools Appl. (2024)
Keyphrases
- recurrent neural networks
- pattern recognition
- robust detection
- classification accuracy
- classification scheme
- support vector
- decision trees
- convolutional neural network
- feature vectors
- automatic classification
- detection algorithm
- image classification
- feature selection
- machine learning
- long short term memory
- false positives
- pattern classification
- classification method
- data sets
- feature extraction and classification
- object detection
- nearest neighbor
- neurological disorders
- support vector machine svm
- detection method
- training samples
- text classification
- support vector machine
- neural network
- false alarms
- intelligent systems
- eeg signals
- cellular neural networks
- eeg data
- mammogram images
- feature space
- feature extraction