Automatic detection of small bowel lesions with different bleeding risks based on deep learning models

Figure 6 Output of YOLO-V5. Boxes with different colors in the output image represent different bleeding risks; Green represents no bleeding risk; Yellow represents uncertain risk of bleeding; Magenta represents high bleeding risk; Red represents bleeding. Different numbers in the output image represent different lesion types. A: P0Lk (lymphangiectasia); B: P0Lz (lymphoid follicular hyperplasia); C: P0X (xanthoma); D: P1U (ulcer smaller than 2 cm); E: P1P (protruding lesion smaller than 1 cm); F: P2V (vascular lesion); G: P2U (ulcer larger than 2 cm); H: P2P (protruding lesion larger than 1 cm); I: Bleeding (B); J: P2P (protruding lesion larger than 1 cm), P2U (ulcer larger than 2 cm), and B. Decimal point represents probability.