High-throughput adaptive sampling for whole-slide histopathology image analysis (HASHI) via convolutional neural networks: Application to invasive breast cancer detection

Precise detection of invasive cancer on whole-slide images (WSI) is a critical first step in digital pathology tasks of diagnosis and grading. Convolutional neural network (CNN) is the most popular representation learning method for computer vision tasks, which have been successfully applied in digi...

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Detalles Bibliográficos
Autores principales: Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie, Tomaszewski, John, Madabhushi, Anant, González, Fabio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5967747/
https://www.ncbi.nlm.nih.gov/pubmed/29795581
http://dx.doi.org/10.1371/journal.pone.0196828

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5967747/
https://www.ncbi.nlm.nih.gov/pubmed/29795581
http://dx.doi.org/10.1371/journal.pone.0196828

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