Cell classification method and device

Abstract

The invention provides a cell classification method and device, and relates to the technical field of biological information, and the method comprises the steps: obtaining a to-be-identified cell image, wherein the cell image comprises at least two types of cells; dividing the cell image into N sub-images, and determining a contour information graph corresponding to the sub-images, the contour information graph comprising contour shapes of cells to be identified in the sub-images, N being greater than or equal to 2; inputting each contour information graph into a classification model to obtaina classification result of the to-be-identified cells in the sub-image, the classification model being determined according to the contour shape of the cells of which the classification result has been determined; and determining a classification result of the cell image according to the classification result of the to-be-identified cell in the sub-image. The method provided by the embodiment ofthe invention can be used for carrying out cell classification on the whole to-be-identified cell image, is high in cell classification accuracy, is beneficial to carrying out quantity statistics on the classified cells, and improves the diagnosis precision.

Description

technical field [0001] The present application relates to the field of biological information technology, in particular to a cell classification method and device. Background technique [0002] In current medical and biological research, the study of biological cells has become a key technology, which is an important tool for studying pathogenesis and biological processes. Through the processing of biological cells such as detection, segmentation, classification, counting, etc., it helps doctors diagnose diseases. [0003] At present, the morphological diagnosis of cells is based on the observation of cell morphology under a microscope by medical personnel, and counting the number of cells of different shapes for disease diagnosis. This method relies on the experience of the operator, is highly subjective, has poor repeatability, and has low efficiency. Therefore, a method that can quickly and accurately determine cell types is urgently needed in the prior art. Contents o...

AI Technical Summary

Problems solved by technology

[0004] The invention provides a cell classification method and device, which are used to solve the problem that the prior art urgently needs a method capable of quickly and accurately determining the cell type

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