LDPCP (Local Directional Pattern CoroNet Descriptor) Method for identifying COVID cases from Chest X-ray images
Involves 3 folders that form a cohesive feature extraction and classification system: Dataset, Feature_Extract and SVM
Contains functions for creating, analyzing, processing and augmenting the dataset being utilized. More details of the functions given in /Dataset/info.txt (To be added) /Dataset/config.py needs to be updated with the relevant details for use
The dataset created for the classification purpose is given in the following github repository: <to_be_added>
Contains functions for extracting the dataset for neural network use, and the neural networks that were used for feature extraction. The features are saved in a MYSQL database Also contains some utility functions for getting training statistics of the neural network performance. More details of the functions given in /Feature_Extract/info.txt (To be added) /Feature_Extract/config.py needs to be updated with the relevant details for use
Contains functions for extracting the saved features from MySQL, and also the SVM for final classification. More details of the functions given in /SVM/info.txt (To be added) /SVM/config.py needs to be updated with the relevant details for use