Computational Intelligence and Neuroscience / 2022 / Article / Alg 1 / Research Article
[Retracted] CT-ML: Diagnosis of Breast Cancer Based on Ultrasound Images and Time-Dependent Feature Extraction Methods Using Contourlet Transformation and Machine Learning Input: Output: Labels (Normal, Benign, Malignant) Filter = pkva , Number of levels = Smooth function = Raised cosine Contourlet Decomposition: Reshape sub-bands: For i = 1:9 End For Feature Extraction: For j = 1:9 For k = 1:7 End For End For Feature reduction: Classification: Train (KNN , Labels) Train (SVM , Labels) Train (LDA , Labels) Train (DT , Labels) Train (CNN , Labels) Performance Analysis: Plot (Confusion Matrix); Plot (Performance Plot) Plot (ROC)