User: Guest  Login
Document type:
Konferenzbeitrag 
Author(s):
Baur, C.; Albarqouni, S.; Navab, N. 
Title:
Generating Highly Realistic Images of Skin Lesions with GANs 
Abstract:
As many other machine learning driven medical image analysis tasks, skin image analysis suffers from a chronic lack of labeled data and skewed class distributions, which poses problems for the training of robust and well-generalizing models. The ability to synthesize realistic looking images of skin lesions could act as a reliever for the aforementioned problems. Generative Adversarial Networks (GANs) have been successfully used to synthesize realistically looking medical images, however limited...    »
 
Keywords:
MICCAI,ISIC,skin lesion,melanoma,synthesis,GAN,generative adversarial network,PGAN,PGGAN,Progressively Grown GAN,DCGAN,LAPGAN,Visual Turing Test,User Study,Realistic 
Book / Congress title:
International MICCAI Skin Image Analysis Workshop 
Organization:
Springer 
Year:
2018