A model to predict Prostate Cancer using malignant and benign labeled MRI images.
we first augment the images at hand with augmentation. Then we perform feature extraction with DenseNet-121. With the feature set obtained, we use the SVM algorithm for classification. The success reaches up to 98.81%.