Damla Ezgi Akcora
Computer-aided detection of microcalcifications in mammography using deep neural networks.
Rel. Fabrizio Lamberti, Lia Morra, Luca Mainardi. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2018
Abstract
Breast cancer accounts for 22.9% of diagnosed cancers and it is the third highest cause of cancer-related mortality worldwide. According to the National Cancer Institute, early diagnosis of breast cancer is of utmost importance in effective treatment for increasing the survival rate for this disease. The diagnosis of breast cancer is mainly performed by periodically screening the breast region by human experts to be able to detect a potential threat at an early stage. However, the screening outcomes are highly detailed images that might be confusing in some cases considering the capabilities of the human visual system. For this reason, advanced computer-based systems are developed in order to support the radiologists in recent years.
This collaboration is found particularly useful to assist radiologists in diagnosing subtle abnormalities appear in the screening that might not be obvious to the eye otherwise
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