Scalable deep text comprehension for Cancer surveillance on high-performance computing

BACKGROUND: Deep Learning (DL) has advanced the state-of-the-art capabilities in bioinformatics applications which has resulted in trends of increasingly sophisticated and computationally demanding models trained by larger and larger data sets. This vastly increased computational demand challenges t...

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Detalles Bibliográficos
Autores principales: Qiu, John X., Yoon, Hong-Jun, Srivastava, Kshitij, Watson, Thomas P., Blair Christian, J., Ramanathan, Arvind, Wu, Xiao C., Fearn, Paul A., Tourassi, Georgia D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302459/
https://www.ncbi.nlm.nih.gov/pubmed/30577743
http://dx.doi.org/10.1186/s12859-018-2511-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302459/
https://www.ncbi.nlm.nih.gov/pubmed/30577743
http://dx.doi.org/10.1186/s12859-018-2511-9

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