Cervical liquid-based cell slice quality detecting system

Abstract

The invention discloses a cervical liquid-based cell slice quality detecting system and particularly relates to the field of artificial intelligence medical image processing. The system comprises a slice data processing module, a squamous cell quantity evaluation module, a fuzzy detection module, an abnormality detection module and an integrated module. An output end of the slice data processing module is connected to an input end of the squamous cell quantity evaluation module. An output end of the squamous cell quantity evaluation module is connected to an input end of the fuzzy detection module. An output end of the fuzzy detection module is connected to an input end of the abnormality detection module. An output end of the abnormality detection module is connected to an input end of the integrated module. The system is mainly for an x-slice image scanned by a scanner, and the detection content further includes the clarity and the number of squamous cells. Since the slice image includes the entire field of view of the slice, different situations may exist in different places in the field of view, and so the quality detecting system makes an objective judgment on the overall image with the combination of a slice thumbnail.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence medical image processing, and more specifically, the invention relates to a quality detection system for cervical liquid-based cell slices. Background technique [0002] Cervical cancer is a very common gynecological malignancy, and its incidence rate ranks second among female malignancies, second only to the incidence of female breast cancer. Moreover, the incidence of cervical cancer has gradually become younger in recent years, so early screening and prevention research of cervical cancer has become a hot topic worldwide. [0003] As one of the three pillars of pathological diagnosis, cytopathology plays an important role in pathological diagnosis. The final diagnostic result is obtained by sampling the lesion and making a cell smear, and performing cytopathological analysis under a microscope. However, the traditional technology is not manual reading technology, which require...

AI Technical Summary

Problems solved by technology

[0011] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a quality detection system for cervical liquid-based cell slices, which uses a slice data processing module to scan image slices from different scanners due to different slice formats, resulting in large and complex data For processing, the 40x image is used to sample and collect the entire slice image, which can well reflect the overall information, and then the image clarity and the number of squamous cells are detected by the squamous cell number evaluation module and the blur detection module , can better describe the slice quality, foreign body coverage and blood contamination are synthesized into a module - anomaly detection for processing, and finally the content of the above module detection is judged by the comprehensive module, and an overall evaluation of the entire slice can be made instead of It is only a part of the slice, therefore, the entire quality inspection system combined with the slice thumbnail can make an objective judgment on the overall image

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