Improved unsupervised physics‐informed deep learning for intravoxel incoherent motion modeling and evaluation in pancreatic cancer patients

Purpose Earlier work showed that IVIM‐NET orig , an unsupervised physics‐informed deep neural network, was faster and more accurate than other state‐of‐the‐art intravoxel‐incoherent motion (IVIM) fitting approaches to diffusion‐weighted imaging (DWI). This study presents a substantially improved version, IVIM‐NET optim , and characterizes its superior performance in pancreatic cancer patients. Method In simulations (signal‐to‐noise ratio [SNR] =...