Article

Quality assessment of anatomical MRI images from Generative Adversarial Networks: human assessment and image quality metrics

2022-01-04

Abstract excerpt

<h4>Background</h4> Generative Adversarial Networks (GANs) can synthesize brain images from image or noise input. So far, the gold standard for assessing the quality of the generated images has been human expert ratings. However, due to limitations of human assessment in terms of cost, scalability, and the limited sensitivity of the human eye to more subtle statistical relationships, a more automated approach tow...

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Literature Corpus work: 74fb7979-6309-56ee-ad70-652860b6237d
DOI: 10.1101/2022.01.03.474792

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