Breast Cancer Detection in Image Processing

One in eight women are diagnosed with breast cancer and thirty percent of women not up to date screening recommandations, if diagnosed early effects can be reduced. Breast Cancer is becoming less uncommon. As a result, identifying BC and determining the affected region of the breast is more essential. Images from Screening for a Mammography. The two perspectives, CC and MLO, are often used in the diagnosis process. This paper describes a method for detecting cancer regions and classifying patients as normal or cancerous. The preliminary processing involves taking the input mammogram image, removing any unwanted parts, segmenting the tumor region using morphological operations, and highlighting the relevant area on the original image. If the mammogram image is normal, it indicates that the patient is normal.