Artificial intelligence auxiliary radiograph reading system for cervix uteri cell sap liquid-based smear

Abstract

The invention discloses an artificial intelligence auxiliary radiograph reading system for a cervix uteri cell sap liquid-based smear. The system comprises a cell image acquisition module, a cell image preprocessing module, a cell image detection segmentation module, a quick hierarchical recognition module of a cell and an interpretation and postprocessing module, wherein the cell image detection segmentation module is used for automatically detecting different cell ingredients of the image cell, and simultaneously carrying out automatic segmentation on a cell nucleuse, cytoplasm and a background in the same cell ingredient, and a segmentation result is trimmed and optimized; the quick hierarchical recognition module of the cell is used for identifying a segmented image and distinguishing the segmented image into a single cell or a cell cluster; a double-current convolutional neural network of an additional knowledge field and a constructed cell mapping knowledge domain are adopted to carry out hierarchical recognition on single cell to independently obtain two hierarchical results; a double-current convolutional neural network of the cell cluster is adopted to realize the recognition of inseparable cell clusters; and the interpretation and postprocessing module is used for carrying out combined interpretation on two types of hierarchical results of the single cell, and conflict processing is carried out to obtain the hierarchical result of the single cell.

Description

technical field [0001] The invention relates to the field of medical cell image processing, in particular to an artificial intelligence-assisted reading system for cervical cell liquid-based smears. Background technique [0002] Cervical cancer is a malignant tumor that occurs in the cervix, and it is closely related to high-risk HPV infection. Early detection, diagnosis and treatment of cervical precancerous lesions are one of the strategies to reduce the incidence and mortality of cervical cancer. Cervical cancer screening is simple and economical. Many countries use screening methods to control the incidence and mortality of cervical cancer and reduce the burden of disease. [0003] From 2008 to 2016, more than 2 million free cervical cancer screenings were completed in Beijing, more than 4,000 cases of cervical cancer and precancerous lesions were detected, and the positive detection rate of cervical cytology was 2.3%. According to foreign data and some regions in my co...

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Problems solved by technology

[0003] From 2008 to 2016, more than 2 million free cervical cancer screenings were completed in Beijing, more than 4,000 cases of cervical cancer and precancerous lesions were detected, and the positive detection rate of cervical cytology was 2.3%. According to foreign data and some regions in my country According to the research data, experts speculate that the positive detection rate of cervical cytology in the normal population in my country is roughly between 5-7%, but the current detection rate in Beijing is far from this standard

[0006] The existing quantitative analysis and auxiliary diagnosis methods of cervical cells still have obvious defects, and the research on cervical cell analysis technology is still in its infancy. Neighborhood information and color distribution information establish accurate cell image segmentation, make full use of the cervical cell database and cervical cell clinical diagnosis rules to establish a framework for quantitative analysis of cervical cells and intelligent auxiliary diagnosis, and provide an artificial intelligence-assisted film reading system based on liquid-based cervical cell smears Provide software platform

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