Real-time detection and breast disease auxiliary analysis method based on breast ultrasonic image

A real-time detection and breast disease technology, applied in mammography, ultrasound/sound wave/infrasound image/data processing, organ motion/change detection, etc. , Balance the effect of uneven distribution of medical resources

Pending Publication Date: 2021-12-31
上海仰和华健人工智能科技有限公司
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Problems solved by technology

[0004] The purpose of the present invention is to provide a method for real-time detection and auxiliary analysis of breast diseases based

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  • Real-time detection and breast disease auxiliary analysis method based on breast ultrasonic image
  • Real-time detection and breast disease auxiliary analysis method based on breast ultrasonic image
  • Real-time detection and breast disease auxiliary analysis method based on breast ultrasonic image

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[0021] In order to make the purpose, content, and advantages of the present invention clearer, the specific implementation manners of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0022] Such as figure 1 As shown, the present invention uses a real-time breast lesion detection network based on yolov5, which includes data preparation, data preprocessing, data training and data verification.

[0023] Step 1: First, 1100 breast ultrasound video data need to be collected, including 1000 cases with breast diseases and 100 cases without breast diseases. It is necessary to ensure that the ratio between benign lesions and malignant lesions is 1:1;

[0024] Step 2: Then extract a frame every second from the video and scale it to 512*512 as the detection data set. The obtained image data set labels are framed by two experienced sonographers respectively. Mark the category of the corresponding lesion. When...

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Abstract

The invention relates to a real-time detection and breast disease auxiliary analysis method based on a breast ultrasonic image. The method comprises the steps: collecting video data during breast ultrasonic examination, performing the preprocessing of the video data, inputting the preprocessed video data into a yolov5 network for training, and obtaining a real-time detection model; according to the obtained real-time detection model, screening out a breast lesion image for each case, performing preprocessing, and training a multi-view breast disease classification model based on an EfficientNetV2-L network; forming a real-time video by echoes of real-time breast disease detection, inputting the real-time video into the real-time detection model, and outputting a focus map with the confidence coefficient larger than a threshold value; for the suspicious focus map, performing focus size reminding, and if no focus exists, outputting a prediction report; and inputting the focus map into the breast disease classification model, predicting the type and confidence of the breast disease, and outputting related information. According to the method, doctors can be assisted in screening breast lesions, and the diagnosis efficiency and accuracy are improved.

Description

technical field [0001] The invention relates to the field of breast ultrasound screening, in particular to a method for real-time detection and breast disease auxiliary analysis based on breast ultrasound images. Background technique [0002] Breast diseases refer to diseases originating from mammary glands, fat, lymph, blood vessels, nipples and other breast-related tissues. Breast diseases include inflammatory diseases of the breast, benign breast lesions, malignant breast tumors, congenital abnormalities, and gynecomastia. Among them, breast cancer has an annual incidence of about 270,000 in China, ranking first in the list of malignant tumors among Chinese women, and it has a tendency to become younger. The Chinese government established the "two cancer screening" project including breast cancer more than 10 years ago, providing free screening benefits for all women of the right age every year. However, due to the shortage of medical imaging physicians, only about 2 mi...

Claims

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Application Information

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IPC IPC(8): A61B8/08A61B8/00
CPCA61B8/5215A61B8/0825
Inventor 童云飞张超仁邓天然
Owner 上海仰和华健人工智能科技有限公司
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