The present application relates to the technical field of
digital image processing, in particular to a tumor interstitial proportion quantitative
evaluation system based on
pathological images. The present application automatically obtains tumor epithelial region, tumor interstitial region,
tumor region and tumor infiltration front region based on
image segmentation, without pre-selecting histological evaluation position for visual evaluation by artificial selection, avoiding the subjective experience dependence of traditional methods, and improving the efficiency of tumor interstitial proportion evaluation. In addition, the present application comprehensively quantitatively evaluates the first tumor interstitial proportion under the overall scale of the to-be-tested
pathological image, the second tumor interstitial proportion under the scale of the tumor infiltration front region and the third tumor interstitial proportion under the scale of the
tumor region, and finally obtains the tumor interstitial proportion
score value which can reflect the tumor interstitial proportion characteristics of different anatomical positions, further improving the accuracy of the
evaluation result. The preset rule is to select the window tumor interstitial proportion with the highest tumor interstitial proportion value.