Then 18 features significantly correlated with Ki-67 expression in rectal cancer were selected to construct models, among which wavelet features account for the majority (14/18, 77.8%), followed by original_shape features (3/18, 16.6%) and original_firstorder features (1/18, 5.6%). Here, MKI67 is linked to rectal cancer.