Abstract
This paper examines the critical application of image analysis in improving the diagnosis and management of breast cancer using techniques such as mammography, dedicated breast computed tomography (DBCT), background parenchymal enhancement (BPE), positron emission tomography, optical imaging, molecular imaging, automated whole breast ultrasound (AWBU), mechanical imaging, and optical coherence tomography (OCT). The paper performs a review of previously published studies and research on various imaging techniques currently used in the overall screening and assessment of breasts’ size, volume, composition, and density. Using findings from those studies, the paper demonstrates that such methods have been successfully applied into clinical practice to ameliorate health conditions of breast cancer patients and reduce mortality rate.
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