Data annotation processing method, device and system

Abstract

The invention discloses a data annotation processing method, device and system. The method comprises the following steps: acquiring a blood sample image, and preprocessing the blood sample image to obtain a leukocyte image; classifying the leukocyte images by using a neural network model to obtain a leukocyte classification result; obtaining a judgment result of whether the classification result is correct, and if the judgment result indicates that the classification result is correct, storing the leukocyte image and the classification result; and if the judgment result indicates that the classification result is incorrect, obtaining a correct annotation result of the leukocyte image, the correct annotation result being obtained by manually classifying and annotating the leukocyte image bythe target user at the client. The technical problems of high labor cost and time cost, low labeling efficiency and high error rate due to the fact that current blood cell image labeling needs professional medical knowledge and experience of labeling personnel are solved.

Description

technical field [0001] The present application relates to the field of data labeling, and in particular, to a data labeling processing method, device, and system. Background technique [0002] The mainstream diagnostic methods for leukemia include cytomorphological diagnosis and gene analysis diagnosis. Among them, blood cell morphology analysis requires only one image instead of a blood sample, so it is suitable for low-cost or remote diagnostic systems. A computer-aided morphological analysis system using image processing and deep learning can complete the diagnosis of leukemia with lower time and labor costs. [0003] Through the classification of leukocyte subtypes, preliminary diagnostic conclusions can be obtained. White blood cells can be divided into 17 different types. Some types of white blood cells are easier to distinguish from the outside, while some types of white blood cells are basically indistinguishable from aspects such as cell shape and nucleus size rat...

AI Technical Summary

Problems solved by technology

[0007] The embodiment of the present application provides a data labeling processing method, device, and system to at least solve the problem of high labor and time costs due to the current labeling of blood cell images requiring labelers to have professional medical knowledge and experience, and the labeling efficiency Low technical issues with high error rate

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