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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Veröffentlicht in:PLoS One
Hauptverfasser: Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie, Tomaszewski, John, Madabhushi, Anant, González, Fabio
Format: Artigo
Sprache:Inglês
Veröffentlicht: Public Library of Science 2018
Schlagworte:
Research Article
Online Zugang: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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