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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Detaylı Bibliyografya
Yayımlandı:PLoS One
Asıl Yazarlar: Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie, Tomaszewski, John, Madabhushi, Anant, González, Fabio
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Public Library of Science 2018
Konular:
Research Article
Online Erişim: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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