Algorithm 1: Feature Extraction and Classification Using the DTBV System

Input: Bone X-ray image I Output: Classified image C 1. procedure FEATURE_EXTRACTION(dataset) 2.     for I in dataset do 3.          Read the image               I←cv2.imread(image_path) 4.          Resize the image 5.          Apply median filter to remove noise from the image               I←cv2.medianBlur(I, 3) 6.          Extract the features from the filtered image using the VGG16 model               feature_extractor←vgg16()               f←feature_extractor(I) 7.     end for 8. end procedure 9. procedure CLASSIFICATION(dataset, f) 10.     Select the best features from the extracted features using mutual information statistic             f s←SelectKBest(mutual_info_classif) 11.     Split the dataset into training_dataset and testing_dataset 12.     Train the SVM model with the features selected for the training_dataset               classifier←SVC()               C←classifier(fs) 13.     Classify the testing_dataset using the selected features into healthy and malignant images 14. end procedure