Breast tumor benign and malignant classification method and device based on ultrasonic image and medium

Abstract

The invention provides a breast tumor benign and malignant classification method and device based on an ultrasonic image and a medium, and the method comprises the steps: carrying out the preprocessing of an original breast tumor ultrasonic image with a classification label, and obtaining a preprocessed image; obtaining a region of interest in the preprocessed image; performing three kinds of processing on the region of interest to respectively obtain a deep residual network feature vector, a texture feature vector and a morphological feature vector; carrying out dimension reduction processing on the deep residual network feature vector and the texture feature vector, and then carrying out feature fusion on the deep residual network feature vector and the texture feature vector to obtain fusion vector data; learning a certain amount of fusion vector data by using a support vector machine classifier, learning morphological feature vectors by using a naive Bayes classifier, and obtaining a tumor classification model by weighting the two classifiers; and inputting the breast tumor ultrasonic image to be classified into the breast tumor classification model to obtain a classification result. By adopting the method provided by the invention, automatic classification of the breast tumor ultrasonic images can be realized more accurately.

Description

technical field [0001] The invention relates to the field of medical image processing, in particular to a method, device and medium for benign and malignant breast tumors based on ultrasound images. 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 has been widely used in the detection of breast tumors due to its versatility, safety and high sensitivity. Thyroid Ultrasound, Breast Ultrasound, Prostate Ultrasound, Cardiac Ultrasound and Renal Ultrasound, etc. [0003] At present, ultrasound is the preferred imaging examination and preoperative evaluation method for the diagnosis of breast tumors. However, correct interpretation of breast ultrasou...

AI Technical Summary

Problems solved by technology

However, the current imaging method of ultrasound images will result in low discrimination between the background and 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. Most studies have not paid attention to the low discrimination between the background and foreground problem, and only study single-type features or directly fuse two types of features, it is easy to ignore important breast tumor information, resulting in inaccurate automatic classification of breast tumor ultrasound images

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