Artificial intelligence interpretation method and system for immunohistochemical image nuclear positive

The invention discloses an artificial intelligence interpretation method and system for immunohistochemical image kernel positivity, and the method comprises the steps: carrying out classification andrecognition of an HE image, obtaining a cancer tissue prediction probability distribution map, extracting a block index value of a highly suspected cancer tissue region when a probability value exceeds a selection threshold parameter, and mapping the block index value to a registered IHC image; extracting cancer tissue region blocks in the IHC image; counting the number of nuclear positive cellsand the number of non-nuclear positive cells in cancer cells for each cancer tissue region block, accumulating the number of nuclear positive cells and the number of non-nuclear positive cells countedin all cancer tissue region blocks, and finally solving the nuclear positive rate. Automatic quantitative calculation and analysis of the nuclear positive rate of the immunohistochemical cancer tissue region can be realized, a