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Deep Learning With Sampling in Colon Cancer Histology

This study applied a deep-learning cell identification algorithm to diagnostic images from the colon cancer repository at The Cancer Genome Atlas (TCGA). Within-image sampling improved performance without loss of accuracy. The features thus derived were associated with various clinical variables inc...

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Detalles Bibliográficos
Autores principales:	Shapcott, Mary, Hewitt, Katherine J., Rajpoot, Nasir
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2019
Materias:	Bioengineering and Biotechnology
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6445856/ https://www.ncbi.nlm.nih.gov/pubmed/30972333 http://dx.doi.org/10.3389/fbioe.2019.00052

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