Tumor ultrasonic image classification method and device based on optical density transformation, and medium

Abstract

The embodiment of the invention discloses a tumor ultrasonic image classification method and device based on optical density transformation, and a medium, and the method comprises the steps: step 10,carrying out the preprocessing of an original tumor ultrasonic image with a classification label, and obtaining a preprocessed image; step 20, acquiring a region of interest in the preprocessed image;step 30, performing two kinds of processing on the region of interest to obtain a texture feature vector and a morphological feature vector respectively; step 40, performing dimension reduction processing on the texture feature vectors, and performing feature fusion on the texture feature vectors and the corresponding morphological feature vectors to obtain fusion vector data; step 50, learning acertain amount of fusion vector data by using a classifier to obtain a tumor classification model; and step 60, inputting the tumor ultrasonic images to be classified into the tumor classification model to obtain a classification result. The method disclosed by the invention can effectively improve the accuracy and robustness of ultrasonic image tumor benign and malignant prediction, provides reference for doctors to diagnose tumors, and improves the diagnosis efficiency of doctors.

Description

technical field [0001] The present invention relates to the technical field of medical image processing, in particular to a tumor ultrasound image classification method, device and medium based on optical density transformation. Background technique [0002] Cancer is one of the most important diseases threatening human health worldwide. According to the statistics of the World Health Organization, the incidence of cancer has been on the rise. Early detection, early diagnosis and early treatment are the key to improving the cure rate of cancer and reducing the mortality rate. Ultrasound imaging technology is widely used in the detection of tumors because of its versatility, safety and high sensitivity. , Breast Ultrasound, Liver Ultrasound, Heart Ultrasound and Kidney Ultrasound, etc. [0003] Ultrasound is the preferred imaging examination and preoperative evaluation method for the diagnosis of tumors. However, correct interpretation of ultrasound images requires doctors ...

AI Technical Summary

Problems solved by technology

The current imaging method of ultrasound images will result in a small distinction between the background and the foreground of the image, high and close gray levels, and it is difficult to distinguish the difference between similar gray areas in the ultrasound image

At present, most studies do not pay attention to the problem of low discrimination between image background and foreground, and only study single-type features or directly fuse two types of features, which tends to ignore important tumor information, resulting in inaccurate automatic classification of tumor ultrasound images

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