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Document type:
Konferenzbeitrag 
Author(s):
Lahiani, A.; Navab, N.; Albarqouni, S.; Klainman, E. 
Title:
Perceptual Embedding Consistency for Seamless Reconstruction of Tilewise Style Transfer 
Abstract:
Style transfer is a field with growing interest and use cases in deep learning. Recent work has shown Generative Adversarial Networks (GANs) can be used to create realistic images of virtually stained slide images in digital pathology with clinically validated interpretability. Digital pathology images are typically of extremely high resolution, making tilewise analysis necessary for deep learning applications. It has been shown that image generators with instance normalization can cause a tilin...    »
 
Keywords:
MICCAI,CAMP 
Book / Congress title:
International Conference on Medical Image Computing and Computer-Assisted Intervention 
Organization:
Springer 
Year:
2019 
Pages:
568--576