Visualizing histopathologic deep learning classification and anomaly detection using nonlinear feature space dimensionality reduction

BACKGROUND: There is growing interest in utilizing artificial intelligence, and particularly deep learning, for computer vision in histopathology. While accumulating studies highlight expert-level performance of convolutional neural networks (CNNs) on focused classification tasks, most studies rely...

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Detalles Bibliográficos
Autores principales: Faust, Kevin, Xie, Quin, Han, Dominick, Goyle, Kartikay, Volynskaya, Zoya, Djuric, Ugljesa, Diamandis, Phedias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Methodology Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956828/
https://www.ncbi.nlm.nih.gov/pubmed/29769044
http://dx.doi.org/10.1186/s12859-018-2184-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5956828/
https://www.ncbi.nlm.nih.gov/pubmed/29769044
http://dx.doi.org/10.1186/s12859-018-2184-4

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