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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Dades bibliogràfiques
Publicat a:Eur J Nucl Med Mol Imaging
Autors principals: Wang, Hongmei, Wang, Lu, Lee, Edward H., Zheng, Jimmy, Zhang, Wei, Halabi, Safwan, Liu, Chunlei, Deng, Kexue, Song, Jiangdian, Yeom, Kristen W.
Format: Artigo
Idioma:Inglês
Publicat: Springer Berlin Heidelberg 2020
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Original Article
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7581467/
https://ncbi.nlm.nih.gov/pubmed/33094432
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s00259-020-05075-4
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