Breast ultrasonic image multi-classification system and method based on cross correlation characteristics

Abstract

The invention provides a breast ultrasonic image multi-classification system and method based on cross correlation characteristics. The system comprises an ultrasonic image preprocessing unit; an interest area extraction unit used for extracting an image of an interest area; an internal cross correlation density feature extraction unit used for extracting an internal cross correlation density characteristic value of an interest image; a conventional feature extraction unit used for extracting a plurality of conventional characteristic values of the interest area image; and a multi-classification unit used for training classifiers, inputting an internal cross correlation density characteristic value vector and conventional characteristic vectors to three trained classifiers for classification, and regarding the category with the most prediction as a final classification result. According to the classification method, the internal cross correlation density characteristic based on the interest area is additionally provided, the auxiliary diagnosis effect of a breast ultrasonic computer can be effectively improved, the classification category of galactocele which is the benign lesion is added, and the requirement of a breast ultrasonic computer auxiliary system by doctors is further met.

Description

technical field [0001] The invention belongs to the technical field of post-processing of medical images, and in particular relates to a system and method for multiple classification of breast ultrasound images based on cross-correlation features. Background technique [0002] Breast disease is one of the more common diseases in modern women, and breast cancer is a common female malignant tumor. In terms of incidence, breast cancer ranks first among female malignant tumors in Europe and the United States, and ranks second in China. It has become an important disease that affects women's physical and mental health. Regarding the differentiation of benign and malignant breast masses, imaging methods undoubtedly play an important role. Imaging examinations such as mammography, CT, MRI, and ultrasound all have an important impact on the diagnosis and differentiation of breast masses. Among them, with the update of equipment and the development of technology, more and more atten...

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Problems solved by technology

[0003] However, medical ultrasound images are coherent images. Compared with mammography X-ray images, CT, and MRI, there are still defects such as low image quality, extremely obvious artifacts, and low signal-to-noise ratio that easily affect the diagnostic results.

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