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In this study a random forest model was trained to predict the histopathological class (benign vs. premalignant) of colorectal polyps detected in 3D CT colonography images. However, the code can ...

In view of the poor classification effect of traditional random forest algorithm due to the low quality of text feature extraction, a random forest method for text information is proposed. In view of ...

Methods: In this paper, on the basis of extracting multi-scale fusion features of breast cancer images using pyramid gray level co-occurrence matrix, we present a Self-Attention Random Forest (SARF) ...