The segmentation in this project is conducted through the nnUNet framework, followed by the extraction of pituitary tumor features using the radiomics package. The final step involves designing the classifier using the scikit-learn package, resulting in an achieved classification accuracy of approximately 91%.

Brain tumor classification using normal cnn . The code here is completely basic and shows how to get an accuracy also how to classify a certain data.