Accurate and reproducible invasive breast cancer detection in whole-slide images: A Deep Learning approach for quantifying tumor extent

With the increasing ability to routinely and rapidly digitize whole slide images with slide scanners, there has been interest in developing computerized image analysis algorithms for automated detection of disease extent from digital pathology images. The manual identification of presence and extent...

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Detalles Bibliográficos
Autores principales: Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie N.C., Tomaszewski, John, González, Fabio A., Madabhushi, Anant
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394452/
https://www.ncbi.nlm.nih.gov/pubmed/28418027
http://dx.doi.org/10.1038/srep46450

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5394452/
https://www.ncbi.nlm.nih.gov/pubmed/28418027
http://dx.doi.org/10.1038/srep46450

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