Breast Cancer Analysis And Diagnosis Based On Artificial Intelligence

Breast cancer or breast cancer is one of the types of cancer that starts in the breast. Cancer begins when cells grow out of control. Breast cancer cells usually form a tumor, which is usually seen on X-rays or felt as a lump. It is very important to understand that most breast lumps are benign and not cancerous or malignant. Non-cancerous breast tumors grow abnormally, but do not spread outside the breast. They are not life-threatening, but some benign breast lumps increase the risk of breast cancer in women. Breast cancer is one of the leading causes of death in women worldwide, and according to the World Health Organization, breast cancer accounts for about ۱۶% of malignant tumors diagnosed worldwide. From this point of view, it is very important to detect these lesions in the early stages, in order to have the highest chance of survival. A method for breast cancer detection can consist of ۴ steps: (۱) image acquisition, (۲) segmentation and preprocessing, (۳) feature extraction, and (۴) classification. and image processing for breast cancer detection, for image generation and processing, are presented and discussed. Modern pre-disease diagnosis strategies must rely on the use of artificial intelligence (AI)-based algorithms that can rely on both image information and classified data, i.e. information related to patients' daily lives, with the aim of using them.

کلیدواژه ها:

Breast cancer ، mammography ، magnetic resonance ، ultrasound ، thermography ، image processing ، artificial intelligence