In this project, we classified the type of cancerous mass. First, we extracted the features of Grey-Level Co-Occurrence Matrix (GLCM), Grey Level Difference Matrix (GLDM), Gray-Level Run-Length Matrix (GLRLM), and Nakagami Distribution Parameters from the ROI section of the images, and then we classified the desired features using the models of Multilayer Perceptron (MLP), K-Nearest Neighbor (KNN), and Support Vector Machine (SVM).
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AryaAftab/tumor-type-classification
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Tumor type classification with traditional feature extractions and classifiers.
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