Converting tabular data into images for deep learning with convolutional neural networks

Convolutional neural networks (CNNs) have been successfully used in many applications where important information about data is embedded in the order of features, such as speech and imaging. However, most tabular data do not assume a spatial relationship between features, and thus are unsuitable for...

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Detalles Bibliográficos
Autores principales: Zhu, Yitan, Brettin, Thomas, Xia, Fangfang, Partin, Alexander, Shukla, Maulik, Yoo, Hyunseung, Evrard, Yvonne A., Doroshow, James H., Stevens, Rick L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166880/
https://www.ncbi.nlm.nih.gov/pubmed/34059739
http://dx.doi.org/10.1038/s41598-021-90923-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8166880/
https://www.ncbi.nlm.nih.gov/pubmed/34059739
http://dx.doi.org/10.1038/s41598-021-90923-y

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