The invention provides a method, equipment, storage medium and program for judging whether a sample is positive or negative based on
DNA content of multi-stage epithelial
cell analysis, and relates to the technical field of medical
image processing and
artificial intelligence, S10, positioning epithelial cells by using a target detection
algorithm, and outputting candidate regions; s20, segmenting a single epithelial
cell in the candidate region through a segmentation
algorithm, calculating an area and an IOD value, and screening a standard epithelial
cell through K-means clustering; and S30, calculating
DNA indexes of all standard epithelial cells, marking
abnormal cells, counting the proportion, and outputting positive and negative results. Compared with an existing method, the method has the following beneficial effects that the
abnormal cell positioning capability in a complex scene can be improved, and the problem of missing detection caused by interference of clustered cells and impurities is effectively solved; a light absorption modeling and boundary compensation mechanism is adopted to accurately quantify the
DNA content difference; an
optical density correction model and a clustering
algorithm are combined, an objective DNA content reference is established, subjective judgment is replaced, and the misdiagnosis risk is reduced.