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
Publicado en:PLoS One
Main Authors: Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie, Tomaszewski, John, Madabhushi, Anant, González, Fabio
Formato: Artigo
Idioma:Inglês
Publicado: Public Library of Science 2018
Assuntos:
Research Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC5967747/
https://ncbi.nlm.nih.gov/pubmed/29795581
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0196828
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