The present invention relates to the technical field of
tumor tissue positioning, and specifically to a method and
system for automatic delineation of tumor radiotherapy target areas based on
artificial intelligence. Based on RGB images and
grayscale images of
tumor tissue, the present invention first performs
edge detection to extract
grayscale connected domains. The
grayscale similarity and distribution characteristics between pixels in each connected domain are analyzed, the tumor characterization degree is calculated, the high metabolic area is screened out and its position in the
RGB image is located. For the first preset area, based on the difference and distribution characteristics of the pixel
B channel value and the central area, a low infiltration characteristic factor is generated and the low infiltration area is delineated. Further, in the second preset area outside the low infiltration area, the
diffusion characteristic factor is calculated by combining the R / B / G channel difference of the pixel, and the gradient value is fused to obtain the
diffusion area, thereby automatically delineating the
tumor tissue. The present invention can accurately segment the high metabolic area, low infiltration area and
diffusion area in the tumor tissue, thereby improving the accuracy of automatic delineation of the
tumor target area.