Nasal polyp pathological section analysis method and system and readable storage medium

Abstract

The invention discloses a nasal polyp pathological section analysis method and system and a readable storage medium, and the method comprises the steps: collecting the pathological image information of an entity section under a microscope in real time through an image collector, and transmitting the information to a processor; the processor is used for performing effective area detection on all cells on the nasal polyp pathological image, removing an epithelium area, a blood vessel area and a gland area in the current visual field, and then counting the number of plasma cells, neutrophils, eosinophils and lymphocytes in the current visual field; counting the sum of the four types of inflammatory cells as the total number of inflammatory cells in the current view; and then calculating the percentage of plasma cells, neutrophil cells, eosinophil cells and lymphocytes, finally judging the nasal polyp inflammation type of the current slice patient according to the number and proportion of the four types of inflammatory cells under the random 10 high-power lens visual fields and hot spot visual fields in the current slide, and finally storing the statistical result. The invention is helpful for individualized diagnosis and treatment and prognosis improvement of nasosinusitis patients.

Description

technical field [0001] The present invention relates to the field of pathological image processing, and more specifically, to a method, system and readable storage medium for analyzing pathological slices of nasal polyps. Background technique [0002] Nasal polyps (nasal polyps) are a common disease of the nose, which are formed due to the gradual sagging of the extremely edematous nasal and sinus mucosa under the action of gravity. Most believe that chronic infection and allergy are the possible causes of the disease. Nasal polyps are composed of highly edematous nasal mucosa, and are prone to occur on the outer wall of the nasal cavity and the top of the nose. The epithelium is pseudostratified columnar ciliated epithelium, and some epithelium metaplasia into squamous epithelium, which is caused by long-term external stimulation. Under the epithelium is edematous loose connective tissue with infiltrating inflammatory cells, including plasma cells, neutrophils, eosinophil...

AI Technical Summary

Problems solved by technology

[0007] Aiming at the difficulty of background cell diversity in pathological images, that is, the deep learning model is extremely sensitive to diverse background cells, causing confusion in feature extraction and affecting the accuracy of analysis

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