Fig. 2

Flow chart of the research: (Exp 1) From the input images, the model gets the mask images that only represent areas of acetowhite lesion. The mask images are used to extract radiomics features. Going through feature extraction and feature selection, five features were selected for cervical cancer classification. Four different kinds of classifiers were trained using the selected features, then classified the test images and produced results. (Exp 2) works just as Exp 1, except that mask images used at Exp 2 were expanded 10 pixels to the margin of the lesion.