The invention discloses a method for detecting leukocytes in
bone marrow slices based on regional recommendation
convolution, which comprises the following steps: performing preprocessing, leukocyte frame selection and leukocyte category labeling, and increasing the number of data sets as a training
data set; constructing a regional recommendation
convolutional neural network model, taking a ResNet 50 network and an FPN network as a
feature extraction network, connecting the output of the FPN network to an RPN network, and allowing the RPN to output a recommendation region to a Faster-RCNN network, and allowing the Faster-RCNN network to output the leukocyte region, and taking the leukocyte category and the category probability corresponding to the leukocyte region as prediction results; training the constructed regional recommendation
convolutional neural network model, adjusting parameters until convergence, and obtaining a trained regional recommendation convolutional neural networkmodel; And taking the image of the
bone marrow cell slice as input, and outputting a prediction result by the trained regional recommendation
convolutional neural network model. The detection methodprovided by the invention is high in leukocyte detection
accuracy and precision, and the indexes of the
algorithm are measured by the accuracy rate and can reach more than 90%.