Application of Radiomics and Decision Support Systems for Breast MR Differential Diagnosis

摘要: Over the years, MR systems have evolved from imaging modalities to advanced computational producing a variety of numerical parameters that can be used for noninvasive preoperative assessment breast pathology. Furthermore, combination with state-of-the-art image analysis methods provides plethora quantifiable features, termed radiomics increases diagnostic accuracy towards individualized therapy planning. More importantly, now complemented by emerging deep learning techniques further process automation and correlation other clinical data which facilitate monitoring treatment response, as well prediction patient's outcome, means unravelling complex underlying pathophysiological mechanisms are reflected in tissue phenotype. The scope this review is provide applications limitations development decision support cancer diagnosis prognosis.