Method for typing chronic sinusitis based on digital pathological slide and system thereof

Abstract

The invention discloses a method for typing chronic nasosinusitis based on a digital pathological slide. The method comprises the following steps: acquiring an image, namely acquiring a digital pathological image from the chronic nasosinusitis nasal polyp slide, and sketching to generate a large mask image; preprocessing the image to obtain a small pathological image and a small mask image; establishing training set data; establishing a deep learning quantitative prediction module; training on an ImageNet data set by adopting an Inception V3 model to obtain model parameters; removing the lastfull-connection layer FC of the model, adding a full-connection layer FC, only one neuron being arranged in the full-connection layer FC, not using activation function, setting a loss function to adopt a mean square error MSE, and setting a learning rate lr; integrating the eosinophilic granulocyte proportion values of all the small pathological pictures on the slide to obtain a final auxiliary diagnosis result. The invention also discloses a system thereof. According to the method, the eosinophilic granulocyte proportion on the pathological picture is rapidly obtained through learning and training, and an objective and high-accuracy auxiliary diagnosis result is given.

Description

technical field [0001] The invention relates to the technical field of medical treatment means, in particular to a method for typing chronic sinusitis based on digital pathological slides and a system technology thereof. Background technique [0002] Chronic rhinosinusitis (CRS) can be clinically divided into two types: without nasal polyps (CRSsNP) and with nasal polyps (CRSwNP). Chronic sinusitis with nasal polyps (CRSwNP) is subdivided into two subtypes: eosinophilic nasal polyps (eCRSwNP) and non-eosinophilic nasal polyps (neCRSwNP). Eosinophilic nasal polyps (eCRSwNP) were sensitive to steroid therapy, whereas non-eosinophilic nasal polyps (neCRSwNP) were sensitive to macrolide antibiotics. Clinically, for how to define eosinophilic nasal polyps (eCRSwNP) and non-eosinophilic nasal polyps (neCRSwNP), pathologists usually randomly take 10 high-power fields of eosinophilic nasal polyp slide specimens from patients The average percentage of granulocytes, and using 10% as...

AI Technical Summary

Problems solved by technology

In addition, due to different experiences of different doctors, or the same doctor at different times, the sampling estimates obtained by randomly selecting the field of view are not the same, that is, manual random sampling counts may also have measurement bias

[0004] Statistics on the proportion of eosinophils to inflammatory cells on the entire slide specimen can make a more accurate diagnosis and avoid sampling errors. However, it takes 2 to 4 hours for pathologists to complete the statistics of a slide specimen, and the time cost is extremely high

[0005] The clinical diagnosis of chronic sinusitis depends entirely on the experience of pathologists at this stage, lacking an objective, high accuracy and timeliness auxiliary diagnosis method and its system

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