Deep learning, radiomics and radiogenomics applications in the digital breast tomosynthesis: a systematic review
Sadam Hussain,
Yareth Lafarga-Osuna,
Mansoor Ali
et al.
Abstract:Background
Recent advancements in computing power and state-of-the-art algorithms have helped in more accessible and accurate diagnosis of numerous diseases. In addition, the development of de novo areas in imaging science, such as radiomics and radiogenomics, have been adding more to personalize healthcare to stratify patients better. These techniques associate imaging phenotypes with the related disease genes. Various imaging modalities have been used for years to diagnose breast cancer. None… Show more
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