Cell nucleus segmentation method based on context feature fusion and related equipment

The invention discloses a cell nucleus segmentation method based on context feature fusion and related equipment, and the method comprises the steps: obtaining a medical cell image, inputting the medical cell image into a convolutional neural network, carrying out the stacking, obtaining a plurality of feature maps, inputting each feature map into a feature pyramid, a context enhancement module in the feature pyramid performs feature fusion on the feature map to obtain output features; inputting the output features into a region extraction network to obtain a candidate frame, and obtaining region-of-interest features by a region-of-interest alignment layer according to the candidate frame; sending the features of the region of interest to a feature adaptive selection module to obtain combined feature representation of feature levels; and respectively calculating category classification, candidate box coordinates and edge perception masks of the region of interest on the basis of the combined feature represent