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Document type:
Zeitschriftenaufsatz 
Author(s):
Baur, C.; Albarqouni, S.; Navab, N. 
Title:
MelanoGANs: High Resolution Skin Lesion Synthesis with GANs 
Abstract:
Generative Adversarial Networks (GANs) have been successfully used to synthesize realistically looking images of faces, scenery and even medical images. Unfortunately, they usually require large training datasets, which are often scarce in the medical field, and to the best of our knowledge GANs have been only applied for medical image synthesis at fairly low resolution. However, many state-of-the-art machine learning models operate on high resolution data as such data carries indispensable, val...    »
 
Keywords:
midl,GAN,LAPGAN,image synthesis,skin lesions,deep learning,high resolution 
Journal title:
arXiv preprint arXiv:1804.04338 
Year:
2018