A New Method Based on Operational Strategies for Early Detection of Breast Cancers

Breast cancer is one of the most important and common types of cancer in the world. There are two types of breast cancer: benign cancer and malignant cancer. The benign condition has poor growth in the body and is rarely distributed in other areas of the body and also has certain characteristics. But in the malignant type, we see a tendency to spread faster, which is dangerous for a person's life. Therefore, its classification into these two modes is very necessary and important for diagnosis and treatment.

First, mammographic images of patients' breasts were evaluated with the help of doctors and then the images were processed. At this stage, we succeeded in using fuzzy logic to identify cancer and its type more quickly.

In this article, a new algorithm for the diagnosis of benign and malignant cancers is proposed. Each of the benign and malignant branches has two types of tumor adenosis and phyllodes tumor, and malignant has two types of duct cancer and papillary cancer. In this article, we propose an algorithm for diagnosing breast cancer that includes four steps. The first stage is the preprocessing stage, the second stage is for image analysis, which uses wavelet transform to analyze images, and the third stage is the extraction of useful features that we use the results of wavelet transform to obtain it, and the fourth stage That is, we use fuzzy logic to identify two types of benign or malignant images.

Originality/Value:

A new way to diagnose the disease and prevent it from becoming malignant is very important.