KEYWORDS: Tumors, Computed tomography, 3D modeling, Kidney, 3D image processing, Rigid registration, Principal component analysis, Education and training, Surgery, Cancer
The advancement of multi-slice CT technology has enabled exact analysis, diagnosis, and treatment of renal and renal tumors. Using contrast agents during CT imaging allows for more accurate acquisition of information regarding blood vessels, organs, and lesions. In this study, we employed three-phase contrast-enhanced CT images of the abdominal region to analyze small-sized renal tumors, explicitly focusing on challenging-to-distinguish types such as papillary Renal Cell Carcinoma (pRCC), chromophobe Renal Cell Carcinoma (RCC), and oncocytoma. The goal is to quantitatively characterize the features of renal tumors and strive for a high-precision discriminatory classification.
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