Using deep learning to differentiate among histology renal tumor types in computed tomography scans
Hung-Cheng Kan, Po‐Hung Lin, I‐Hung Shao, Shih-Chun Cheng et autres
BACKGROUND: This study employed a convolutional neural network (CNN) to analyze computed tomography (CT) scans with the aim of differentiating among renal tumors according to histologic sub-type. METHODS: Contrast-enhanced CT images were collected from patients with renal tumors. The patient cohort was …
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