Generative Adversarial Networks in Digital Pathology: A Survey on Trends and Future Potential

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Image analysis in the field of digital pathology has recently gained increased popularity. The use of high-quality whole-slide scanners enables the fast acquisition of large amounts of image data, showing extensive context and microscopic detail at the same time. Simultaneously, novel machine-learni...

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Detalles Bibliográficos
Autores principales: Tschuchnig, Maximilian E., Oostingh, Gertie J., Gadermayr, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660380/
https://www.ncbi.nlm.nih.gov/pubmed/33205132
http://dx.doi.org/10.1016/j.patter.2020.100089

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7660380/
https://www.ncbi.nlm.nih.gov/pubmed/33205132
http://dx.doi.org/10.1016/j.patter.2020.100089

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