Method, device, terminal and storage medium for quantifying the flatness of esophageal mucosa

Abstract

The present application provides a method, device, terminal and storage medium for quantifying the flatness of esophageal mucosa. The method includes: converting the RGB color space mode of the first dyed enlarged image of the esophageal mucosa to be detected in advance to obtain the HSI color space mode The second dyed enlarged image; obtain the third stained enlarged image corresponding to the target channel in the second stained enlarged image; obtain the image entropy of the third stained enlarged image; obtain the image curvature of the third stained enlarged image; obtain the third stained enlarged image The surface roughness of the esophageal mucosa to be detected is quantified based on image entropy, image curvature, and surface roughness. The application realizes the quantification of the flatness of the esophageal mucosa, and improves the recognition effect and accuracy of the flatness of the esophageal mucosa.

Description

technical field [0001] The present application relates to the field of auxiliary medical technology, in particular to a method, device and computer-readable storage medium for quantifying the flatness of esophageal mucosa. Background technique [0002] At present, esophagogastroscopy screening is an important means of detecting esophageal cancer, which can detect early esophageal cancer, and surgical resection is the main method of diagnosis and treatment of esophageal cancer. The degree of preoperative lesion infiltration is related to the determination of surgical treatment plan, and the more accurate the judgment of infiltration depth is , The higher the surgical resection rate. [0003] When the surface of an early esophageal cancer is smooth and flat, it is more likely to be mucosal rather than submucosal. Lesions with visible endoscopic features, such as nodules, herniated, or ulcerated lesions, are more likely to be submucosal carcinomas. That is, according to the j...

AI Technical Summary

Problems solved by technology

That is, according to the judgment of the smoothness of the lesion surface, the accurate judgment of the infiltration depth of esophageal cancer can be realized. However, the existing identification of the flatness of the esophageal mucosa is poor and the accuracy is low, which is likely to affect the subsequent judgment of the infiltration depth of esophageal cancer.

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