Intelligent screening system and method for cervical cancer cell pathology negative exclusion

Abstract

The invention belongs to the technical field of cervical cancer cell screening, adn discloses an intelligent screening system and method for cervical cancer cell pathology negative exclusion. The intelligent screening system for the cervical cancer cell pathology negative exclusion comprises an image acquisition module, an input module, a main control module, an image processing module, a filtering module, an identification module, a data storage module and a display module. By means of the image processing module segmentation method from coarse to fine, on one hand, the processing speed is guaranteed, and on the other hand, an accurate segmentation effect is obtained. Meanwhile, the artificial recognition pressure is reduced through the recognition module, and the cost for artificially judging the probability of suffering from cervical cancer is also reduced. The identification efficiency of the image block (TCT digital slice) of the TCT slide scanning image is improved; evaluation iscarried out through a statistical machine learning model, cost is saved, and convenience and effectiveness are achieved.

Description

Technical field [0001] The invention belongs to the technical field of cervical cancer cell screening, and in particular relates to an intelligent screening system and method of cervical cancer cell pathological negative exclusion method. Background technique [0002] Cervical cancer is the most common gynecological malignancy. The high incidence age of carcinoma in situ is 30-35 years old, and the age of invasive carcinoma is 45-55 years old. In recent years, the incidence of cancer is younger. The widespread application of cervical cytology screening in recent decades has enabled early detection and treatment of cervical cancer and precancerous lesions, and the incidence and mortality of cervical cancer have decreased significantly. Carcinoma in situ and micro-invasive carcinoma may have no obvious gross lesions, and the cervix may be smooth or only columnar epithelial ectopic. Different signs may appear as the disease progresses. Exogenous cervical cancer can be seen with p...

AI Technical Summary

Problems solved by technology

[0004] In the existing cervical cancer cell pathological vaginal discharge intelligent screening system, the collected cervical images only complete the segmentation of the nucleus, while ignoring the segmentation of the cytoplasm. The information of the cytoplasm is also very critical for the identification of abnormal cells; multiple cells The irregular overlapping, crossing, and arrangement of white blood cells, the influence of dust and impurities, and uneven illumination all increase the difficulty of actual segmentation. Manpower, low recognition efficiency

[0005] The clarity and authenticity of the image data can

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