Decoding COVID-19 pneumonia: comparison of deep learning and radiomics CT image signatures

PURPOSE: High-dimensional image features that underlie COVID-19 pneumonia remain opaque. We aim to compare feature engineering and deep learning methods to gain insights into the image features that drive CT-based for COVID-19 pneumonia prediction, and uncover CT image features significant for COVID...

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Detalles Bibliográficos
Autores principales: Wang, Hongmei, Wang, Lu, Lee, Edward H., Zheng, Jimmy, Zhang, Wei, Halabi, Safwan, Liu, Chunlei, Deng, Kexue, Song, Jiangdian, Yeom, Kristen W.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581467/
https://www.ncbi.nlm.nih.gov/pubmed/33094432
http://dx.doi.org/10.1007/s00259-020-05075-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7581467/
https://www.ncbi.nlm.nih.gov/pubmed/33094432
http://dx.doi.org/10.1007/s00259-020-05075-4

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