Cross Validation of a Conditional Generative Adversarial Network for the Classification of Pleural Mesothelioma Histological Subtype on CT Scans
This study aimed to cross validate a conditional generative adversarial network (cGAN) model for noninvasive histological subtype classification of pleural mesothelioma on computed tomography (CT) scans.
Poster Program · Diagnostic and Interventional Radiology Physics