The generative adversarial network (GAN) is a promising deep learning method for generating images. We evaluated the generation of highly realistic and high-resolution chest radiographs (CXRs) using ...
There are several visual tests out there filled with images that seemingly have nothing to do with you but end up giving valuable insight into who you are. One such test was shared by psychotherapist ...
Image perturbation is a promising technique to assess radiomic feature repeatability, but whether it can achieve the same effect as test–retest imaging on model reliability is unknown. This study ...
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