A pathological image quality validity identification method

Abstract

The invention relates to a pathological image quality validity identification method, which collects pathological images and labels the quality of imaging pathological slices in the pathological images to form labeling information. According to the labeling information, the regions with good image quality and the regions with bad image quality are obtained. The regions with good image quality refer to the regions where the cell outline shape is very clear, and such regions are the regions with good image quality. The poor image quality region refers to some regions which are very blurry, and these regions are the poor image quality regions; the two types of sample data are trained to obtain a trained binary classifier; the binary classifier is used to analyze the data of pathological images and get the analysis result chart; according to the judgment rules, whether the pathological slices in the pathological images meet the requirements of clinical doctors are determined. The inventioncan greatly reduce the time cost in the process of sending and reading slices back and forth due to the slice making problem, and improve the efficiency from the slice making to the diagnosis.

Description

technical field [0001] The invention relates to a method for identifying the validity of pathological image quality, which belongs to the technical field of artificial intelligence. Background technique [0002] Pathological slide analysis is a method for judging diseases based on cell shape and pattern, which is made by cutting tissue with precision instruments and then going through multiple processes. Although the country has very strict standards for pathological slices, in the implementation process of specific hospitals, due to the uneven level of hospital operators and various errors in the process of implementation, the image quality of the final imaging pathological slices is uneven, and even some Slices cannot be recognized by pathologists due to process problems, which is seriously the work of imaging pathologists. [0003] At present, there is no suitable fully automated tool and method for judging the imaging quality of pathological image slices. Contents of ...

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Problems solved by technology

Although the country has very strict standards for pathological slices, in the implementation process of specific hospitals, due to the uneven level of hospital operators and various errors in the process of implementation, the image quality of the final imaging pathological slices is uneven, and even some The slices cannot be recognized by the pathologist due to the problem of the process, and the work of the imaging pathologist is serious

[0003] At present, there is no suitable fully automated tool and method for judging the imaging quality of pathological image slices

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