| abstract |
Provided are a pathological section image processing method, an apparatus, a system, and a storage medium, relating to the technical field of intelligent medical treatment of artificial intelligence. The method comprises: acquiring stained images, under n fields of view of a microscope, of a pathological section that has been subjected to cell membrane staining; with regard to a stained image under an ith field of view in the n fields of view, determining the position of a cell nucleus of a cancer cell in the stained image under the ith field of view; generating a cell membrane description result of the stained image under the ith field of view, wherein the cell membrane description result is used for indicating the integrity and staining intensity of cell membrane staining; according to the position of the cell nucleus and the cell membrane description result, determining the number of cells of each type in the stained image under the ith field of view; and according to the number of cells of each type in the stained image under the n fields of view, determining an analysis result of the pathological section. The present application provides the technical solution of performing systematic cell membrane staining analysis on a pathological section, thus facilitating improvement in the accuracy of a test result. |