The invention discloses a
mammary gland immunohistochemical Ki-67
image segmentation method based on an attention mechanism, and the method comprises the following steps: obtaining a
mammary gland immunohistochemical Ki-67 image, and carrying out the segmentation
processing of the
mammary gland immunohistochemical Ki-67 image, and obtaining mammary gland immunohistochemical Ki-67 image blocks; taking the breast immunohistochemical Ki-67 image block as input, taking the corresponding
cell type
classification result as output, and training a pre-constructed breast
cell segmentation model; a mammary
gland cell segmentation model is constructed based on a VGG16 network and a cooperative attention mechanism of a space and a channel; segmenting a mammary gland immunohistochemical Ki-67 image to be predicted into a plurality of image blocks, and inputting the image blocks into the trained mammary
gland cell segmentation model for segmentation; and obtaining a distribution density map of classification results of different types of cells. The invention relates to the technical field of
image segmentation, and by coordinating the relationship between spatial features and channel features and enhancing the guiding capability of the features,
semantic feature differences are effectively relieved, and the precision, flexibility and adaptability of tumor
cell segmentation are remarkably improved.