MelanoGANs: High Resolution Skin Lesion Synthesis with GANs

12 Apr 2018 Christoph Baur Shadi Albarqouni Nassir Navab

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... (read more)

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Methods used in the Paper


METHOD TYPE
Laplacian Pyramid
Image Representations
LAPGAN
Generative Models
Leaky ReLU
Activation Functions
ReLU
Activation Functions
Batch Normalization
Normalization
DCGAN
Generative Models
Convolution
Convolutions
GAN
Generative Models