Apparatus and method, equipment and storage medium for analysis and management of cervical images

Abstract

The present disclosure relates to a device and method, equipment and storage medium for analysis and management of cervical images. The device includes at least one processor configured to: obtain cervical liquid-based cell images and optionally cervical cell immunohistochemical images and optional cervical histological images of the subject; and perform automatic analysis based on the obtained respective images Obtain the first analysis result, the optional second analysis result, and the optional third analysis result; generate an analysis report based on the first analysis result, the optional second analysis result, and the optional third analysis result. The present disclosure can perform more precise and targeted automatic analysis on each acquired image based on cervical liquid-based cell images, optional cervical cell immunohistochemical images, and optional cervical histological images, thereby quickly and accurately The analysis result is obtained and an analysis report is generated, thereby improving the quality and efficiency of the analysis management of cervical images and reducing the possibility of misdiagnosis / missing diagnosis.

Description

technical field [0001] The present disclosure relates to the technical field of cervical image analysis, and more particularly, to an apparatus and method, a device, and a computer-readable storage medium for analysis and management of cervical images. Background technique [0002] Cervical cancer is the most common gynecological malignancy, and its incidence has been decreasing in recent years. There are 528,000 new cases of cervical cancer and 266,000 deaths worldwide each year, of which 85% of cervical cancer deaths occurred in the census. low- and middle-income areas with low rates. In addition, cervical cancer is a preventable and curable disease, and the early cure rate can reach 90%. Therefore, early screening and diagnosis is the key to the prevention and treatment of cervical cancer. [0003] Cervical cancer screening and diagnosis methods based on pathomorphology include cervical cytology, immunohistochemistry and cervical histology. The traditional pathological...

AI Technical Summary

Problems solved by technology

However, existing deep learning-based cervical screening analysis systems only provide a single liquid-based cytology image analysis based on the TBS reporting system

[0005] Due to the various staining methods of cytology slides and non-standard slides, many uncertain factors are introduced into artificial intelligence (AI) liquid-based cytology image analysis. In addition, special cases such as adenocarcinoma, atrophy, and chemotherapy are prone to AI analysis. Misdiagnosis

These problems have brought great challenges to the popularization and application of the existing cervical intelligent screening analysis system

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