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

• Autores: Mauricio A., López J., Huauya R., Diaz J.
• Formato: objeto de conferencia
• Fecha de Publicación: 2018
• Institución: Consejo Nacional de Ciencia Tecnología e Innovación
• Repositorio: CONCYTEC-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.concytec.gob.pe:20.500.12390/634
• Enlace del recurso: https://hdl.handle.net/20.500.12390/634; https://doi.org/10.1007/978-3-030-01421-6_20
• Nivel de acceso: acceso abierto
• Materia: Statistical correlation; 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; Image analysis; https://purl.org/pe-repo/ocde/ford#2.02.04

The present work was supported by grant 234-2015-FONDECYT (Master Program) from Cienciactiva of the National Council for Science, Technology and Technological Innovation (CONCYTEC-PERU), the Office of Research of Universidad Nacional de Ingeniería (VRI - UNI) and the research management office (OGI - UNI).