Method for establishing eosinophilic granulocyte proportion model by utilizing nasal polyp pathological picture

Abstract

The invention discloses a method for establishing an eosinophilic granulocyte proportion model by utilizing a nasal polyp pathological picture, and the method comprises the following steps: preparingdata, manufacturing nasal polyp into a slide, scanning by using a digital pathological instrument to obtain a WSI picture, and cutting the WSI picture to obtain small pathological pictures; dividing all the small pathological pictures into training set data and test set data according to a set proportion; establishing the eosinophilic granulocyte proportion model; performing training on an ImageNet data set by adopting an Inception V3 model to obtain model parameters, removing the last full connection layer FC of the model, adding a full connection layer FC, wherein only one neuron is arranged in the full connection layer FC, and no activation function is adopted; setting a loss function to employ a mean square error MSE, and setting a learning rate lr. The method is applied to a chronicnasosinusitis nasal polyp pathological auxiliary diagnosis system, and the eosinophilic granulocyte proportion on a pathological picture is rapidly and accurately obtained through learning and training.

Description

technical field [0001] The invention relates to the technical field of medical treatment means, in particular to a method for establishing an eosinophil proportion model using nasal polyp pathological pictures. 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 the cut-o...

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 also different, that is, artificial random sampling counts may also have measurement bias

[0004] Statistics of the proportion of eosinophils to inflammatory cells on the entire slide specimen can make a more accurate diagnosis and avoid sampling errors. However, pathologists need to spend 2 to 4 hours to fully count 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, and lacks an objective, highly accurate and timely auxiliary diagnosis system

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