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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Bibliographic Details

Published in:	European Journal of Nuclear Medicine & Molecular Imaging Vol. 48; no. 5; pp. 1478 - 1487
Main Authors:	Wang, Hongmei, Wang, Lu, Lee, Edward H., Zheng, Jimmy, Zhang, Wei, Halabi, Safwan, Liu, Chunlei, Deng, Kexue, Song, Jiangdian, Yeom, Kristen W.
Format:	Journal Article
Published:	Springer Nature May2021
Online Access:	View this record in EBSCOhost