Focus fusion method and device

Abstract

The invention discloses a focus fusion method and device, and the method comprises the steps: obtaining a focus set of a breast image; executing at least one focus fusion operation until any two focuses in the focus set cannot be fused into one focus; wherein the step of executing the lesion fusion operation comprises the following steps: determining a first lesion and a second lesion from a lesion set; wherein the first lesion and the second lesion are different types of lesions to be subjected to lesion fusion operation, and the first lesion and the second lesion are lesions which are located in a lesion set according to a preset fusion sequence and are subjected to lesion fusion operation firstly; determining whether the first lesion and the second lesion are fused into a third lesion or not according to the overlapping condition of the area of the first lesion and the area of the second lesion; and if so, adding the third lesion into the lesion set, and deleting the first lesion and the second lesion from the lesion set. According to the technical scheme, the same lesion with various lesion types can be accurately identified, and the working efficiency of doctors is improved.

Description

technical field [0001] Embodiments of the present invention relate to the technical field of machine learning, and in particular to a method and device for fusion of lesions. Background technique [0002] At present, female breast images are collected by low-dose mammography equipment. Based on the collected breast images, it can assist in the diagnosis of female breast-related diseases, especially breast tumors, cysts and other lesions, which are helpful for early detection of breast cancer. cancer and reduce the mortality rate of breast cancer patients. [0003] Generally speaking, the diagnosis of lesions on breast images is often determined based on the category of lesions, and the categories of lesions include calcification, mass, and structural distortion. However, for the same lesion, there may be multiple types of lesions at the same time, such as calcification and mass at the same time. The diagnosis method for a single type of lesions is completely different from ...

AI Technical Summary

Problems solved by technology

However, for the same lesion, there may be multiple types of lesions at the same time, such as calcification and mass at the same time. The diagnosis method for a single type of lesions is completely different from that for multiple types of lesions. In the prior art, mainly The doctor manually judges whether there are multiple types of the same lesion, but this method is affected by the doctor's experience, which may make a wrong judgment and reduce the doctor's work efficiency

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