Breast cancer is the illness that affects women the most. Every day, there are more and more cases of breast cancer. An AI algorithm-based automation system is proposed to assist radiologists in interpreting digital mammography images to identify abnormalities associated with breast cancer. Although mammogram images don't have much contrast, the medical visual quality of the image can be enhanced, which aids in early detection by using a trained CNN template. Radiologists can save patient data and output images on their computers for later use using an intuitive Matlab-based graphical user interface (GUI).
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Kumar et al. (2024) studied this question.
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