G Kolostoumpis, K Makrygiannaki, S Dellidimitriou, Varvara Giakalou
Breast Cancer is prevalent most diagnosed cancer type and remains a public-health issue as second leading cause of cancer death that affects women on a global scale. This type of cancer, that starts in the breast could decline the mortality rate even detected in early stages. A last decades, the only progress that can be attributed to the deployment of innovative management pathways, from early detection to treatment. Machine learning and artificial intelligence, can assist breast cancer to achieve prognostic information, and has a potential, practice of precision medicine. There is an important aspect for computer aided systems offers assistance and support to radiologists in the interpretation of medical images through deep belief network that automatically detects breast mass region.
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