Breast cancer detection method and device

Abstract

The embodiments of the invention provide a breast cancer detection method and a device and belong to the computer technology field. The breast cancer detection method is applied to a server. The method comprises the following steps of acquiring a detection report uploaded by a user through a network; determining whether the detection report contains color Doppler ultrasound images; if the detection report contains the color Doppler ultrasound images, acquiring a plurality of target color Doppler ultrasound images carried in the detection report; and based on the plurality of target color Doppler ultrasound images, carrying out lesion detection and outputting a detection result used for expressing whether the user has a breast cancer. Therefore, the user only needs to use a mobile phone totake photos of the breast color Doppler ultrasound image report issued by a hospital, and upload the color Doppler ultrasound image to the server so that identification can be performed. Whether a patient has the breast cancer or other mammary gland diseases is determined and a diagnosis opinion can be timely provided.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a breast cancer detection method and device. Background technique [0002] Breast cancer is a malignant tumor that mostly occurs in the breasts of female patients. With the changes in people's living environment and living habits, the incidence and mortality of breast cancer are gradually increasing worldwide. In western developed countries such as the United States, Germany and other regions, at least one out of every ten women suffers from breast cancer. In recent years, the growth rate of the incidence of breast cancer in my country has been higher than that of countries with a high incidence of breast cancer by one to two percentage points. Breast cancer has become the cancer with the highest incidence rate among women in my country, and it is also the cancer with the highest mortality rate among women before the age of 45 in my country. Although the mammary gland ...

AI Technical Summary

Problems solved by technology

After the data collection of breast color Doppler ultrasound images is completed, a professional radiographer will read and diagnose each image data in the report to determine whether there is a malignant breast disease. However, it is difficult for relatively remote township hospitals to obtain timely radiologists with rich experience in image reading Technologist's clinical opinion

At the same time, the phenomenon of "difficulty seeing a doctor" has led to a long time interval between the patient getting the color ultrasound report and the registered consultation with a professional technician for diagnosis. During this period, the condition is likely to continue to aggravate

Therefore, there is the technical problem of being unable to screen and prevent breast cancer in time in the prior art

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