Real-time labeling method and system for breast ultrasonic focus areas based on artificial intelligence

Abstract

The embodiment of the invention provides a real-time labeling method for breast ultrasonic focus areas based on artificial intelligence. The method includes the steps that a breast ultrasonic image video is divided into picture sets according to the timestamp order at frames; the picture sets are sequentially detected according to a focus-area detection classification model, the BI-RADS type levelis determined, and meanwhile the focus areas are determined; contour lines of all the focus areas are labeled in pictures, wherein the types of the contour lines are related to the BI-RADS type level; all the frame pictures are anew synthesized to form a video according to the timestamp order. The embodiment of the invention also provides an establishing method for the focus-area detection classification model, and the establishing method is used for establishing the focus-area detection classification model in the real-time labeling method for the focus areas. The embodiment of the inventionalso provides a real-time labeling system for the breast ultrasonic focus areas based on artificial intelligence. According to the real-time labeling method and system for the breast ultrasonic focusareas based on artificial intelligence and the establishing method for the focus-area detection classification model in the embodiment, the focus recognition capability is enhanced, the misdiagnosisrate is reduced, and the embodiment assists doctors in giving a more-accurate suggestion.

Description

technical field [0001] The present invention relates to the field of artificial intelligence and ultrasonic medical image processing, in particular to a method and system for real-time labeling of breast ultrasonic lesion areas based on artificial intelligence and a method and system for establishing a lesion area detection and grading model. Background technique [0002] Breast cancer is one of the most frequent malignant tumors in women. In recent years, the incidence of breast cancer in my country has been increasing year by year and tends to be younger. It can be said that the situation is very grim. Nowadays, in terms of treatment, it is more common to use imaging methods for clinical diagnosis of breast cancer, such as breast ultrasound, mammography CR and other methods, which have achieved relatively good diagnostic results. Imaging recognition is still the main means and method for breast cancer detection at present. Due to the shortcomings of molybdenum palladium, ...

AI Technical Summary

Problems solved by technology

[0005] In order to at least solve the complex and changeable ultrasound images of breast cancer in the prior art, the lesion area is often very small, and it is extremely difficult to be found by human eyes, which easily leads to missed diagnosis and misdiagnosis, and the number of ultrasound imaging doctors is extremely limited, which cannot satisfy the huge number of breast cancer patients. Cancer Screening Questions

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