High-resolution generative adversarial neural networks applied to histological images generation

For many years, synthesizing photo-realistic images has been a highly relevant task due to its multiple applications from aesthetic or artistic [19] to medical purposes [1, 6, 21]. Related to the medical area, this application has had greater impact because most classification or diagnostic algorith...

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Detalles Bibliográficos
Autores principales: Mauricio, Antoni, López, Jorge, Huauya, Roger, Diaz Rosado, Jose Carlos
Formato: Artículo (Article)
Idioma:Inglés (English)
Publicado: Springer Verlag 2019
Materias:
Deep learning
Diagnosis
Medical imaging
Neural networks
Diagnostic algorithms
Generative Adversarial Nets
High resolution
Histological images
Learning-based methods
Photo realistic image synthesis
Photorealistic images
Statistical correlation
Image analysis
https://purl.org/pe-repo/ocde/ford#1.02.00
Acceso en línea:http://repositorio.ucsp.edu.pe/handle/UCSP/15767

Internet

http://repositorio.ucsp.edu.pe/handle/UCSP/15767

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