Automated image analysis improves early detection of breast cancer, suggesting better outcomes for women.
The most frequent kind of cancer in women over 40 is breast cancer. According to studies, the likelihood of surviving breast cancer is considerably increased by early identification and adequate treatment. Additionally, they have demonstrated how early diagnosis of tiny lesions improves prognosis and significantly lowers mortality. In this situation, mammography is the most effective diagnostic method for screening. However, due to minute variations in the densities of various tissues in the breasts with thick tissues, mammography interpretation is challenging. This study examines the automated mammogram image analysis for breast cancer early detection. If it is identified early, this research might provide radiologists with a greater understanding of preconceptions and offer a better prediction, leading to a considerable drop in mortality of women with breast cancer.
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Lakshmi Prasanthi Nori (2025) studied this question.
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