Fig. 11From: Enhancing cancer differentiation with synthetic MRI examinations via generative models: a systematic reviewQualitative methods were used in the examined studies for evaluating the generated samples. Almost half of the examined studies evaluated the synthetic images by visualization, whereas 36.1% employed expert clinicians to assess the generated samples using statistical methods or an operator-assisted device that produces a stochastic sequence of binary questions from a given test image (i.e., Visual Turing Test). The 11.1% used cluster visualization methods such as PCA and t-SNE, and a small percentage (5.5%) did not use any qualitative method to assess the synthetic imagesBack to article page