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...

Description complète

Enregistré dans:
Détails bibliographiques
Publié dans:PLoS One
Auteurs principaux: Cruz-Roa, Angel, Gilmore, Hannah, Basavanhally, Ajay, Feldman, Michael, Ganesan, Shridar, Shih, Natalie, Tomaszewski, John, Madabhushi, Anant, González, Fabio
Format: Artigo
Langue:Inglês
Publié: Public Library of Science 2018
Sujets:
Research Article
Accès en ligne: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
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires