Intelligent processing method for breast cancer lesion pictures

Abstract

The invention provides a breast cancer lesion picture intelligent processing method, which comprises the following steps: marking existence state information of breast tissues on a breast region reference picture obtained by shooting a preset breast region of a target object for the first time to obtain a breast region reference picture; according to a preset time interval, continuously shooting a preset mammary gland region of the target object to obtain a plurality of mammary gland region tracking pictures, and marking existence state information of mammary gland tissues to obtain a mammary gland region diagnosis picture; and comparing all breast region diagnosis pictures with the breast region reference picture, determining existence state information of a breast cancer focus region, and obtaining breast cancer cell growth and diffusion judgment information, thereby adjusting operation parameters for performing radiotherapy treatment on the target object, and improving radiotherapy treatment efficiency. In this way, the data processing amount of picture analysis and recognition can be reduced, time progressive recognition and judgment can be carried out on the breast cancer lesion condition of the target object, and therefore targeted radiotherapy treatment can be carried out on breast cancer cells.

Description

technical field [0001] The invention relates to the technical field of medical picture data processing, in particular to an intelligent processing method for breast cancer lesions pictures. Background technique [0002] Breast cancer is one of the most common cancers in modern times. In the early stage of cancer, patients cannot detect it in time. This requires patients to undergo regular screening to accurately determine the incidence. In the process of regular breast cancer screening, it is necessary to take pictures of the breast tissue of the patient, and then analyze and process the obtained pictures to determine the existence of breast cancer cells in the breast tissue of the patient. Each regular screening needs to identify and analyze a large number of pictures and check the results of the identification and analysis to obtain the corresponding diagnosis results of breast cancer lesions. The above methods not only require a lot of computing power to identify pictures...

AI Technical Summary

Problems solved by technology

Each regular screening needs to identify and analyze a large number of pictures and check the results of the identification and analysis to obtain the corresponding diagnosis results of breast cancer lesions. The above method not only requires a large amount of computing power to identify pictures, but also can only Carry out a rough analysis to determine the general existence of breast cancer cells, which cannot identify and judge the patient's breast cancer lesions over time, so that targeted radiotherapy treatment of breast cancer cells cannot be performed and the timeliness and timeliness of breast cancer diagnosis and treatment cannot be reduced. reliability

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