A method, device, storage medium and electronic equipment for identifying myeloid blood cells

Abstract

The invention provides a method, device, storage medium and electronic equipment for identifying myeloid blood cells. The solution includes acquiring a first myeloid blood cell microscope image; performing data enhancement transformation on the first myeloid blood cell microscope image to acquire a second myeloid blood cell microscope image; performing data standardization processing on the second myeloid blood cell microscope image , obtaining a third myeloid blood cell microscope image; performing instance segmentation processing on the third myeloid blood cell microscope image, acquiring a target myeloid blood cell microscope image, and determining target identification information. This scheme enriches the data distribution of myeloid blood cells in microscope images of myeloid blood cells through data enhancement transformation and data standardization, improves the generalization and robustness of processing, and prevents overfitting. Segmentation algorithm processing can completely and accurately identify the classification, location and number of myeloid blood cells on the microscope image.

Description

technical field [0001] The present invention relates to the field of medical examination, and more specifically, to a method, device, storage medium and electronic equipment for identifying myeloid blood cells. Background technique [0002] At present, the existing automatic cell identification and classification technology usually uses convolutional neural network to extract the features of cell images, and then uses binary classification or multi-classification technology to classify the features. The disadvantages of the existing technology are: it cannot process the cells that are crowded or stacked in the image; it cannot classify the cells accurately; it cannot give the location information and specific shape information of the cells. [0003] For example, the Chinese invention patent with the application number CN201911265104.4 and titled "A Computer-Based Automatic Identification and Classification Method for White Blood Cells" discloses the use of convolutional neur...

AI Technical Summary

Problems solved by technology

The shortcomings of the existing technology are: unable to deal with crowded or stacked cells in the image; unable to classify the cells accurately; unable to give the position information and specific shape information of the cells

However, the invention patent uses convolutional neural network classification technology to identify white blood cells, which cannot give the position information and specific shape information of white blood cells in the image, and the invention only roughly classifies white blood cells into lymphocytes, eosinophils, and basophils, neutrophils

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