ResNCT: A Deep Learning Model for the Synthesis of Nephrographic Phase Images in CT Urography

no code implementations • 7 May 2024 • Syed Jamal Safdar Gardezi, Lucas Aronson, Peter Wawrzyn, Hongkun Yu, E. Jason Abel, Daniel D. Shapiro, Meghan G. Lubner, Joshua Warner, Giuseppe Toia, Lu Mao, Pallavi Tiwari, Andrew L. Wentland

Purpose: To develop and evaluate a transformer-based deep learning model for the synthesis of nephrographic phase images in CT urography (CTU) examinations from the unenhanced and urographic phases.

Image Generation SSIM