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...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 48; no. 5; pp. 1478 - 1487 |
|---|---|
| Autores principales: | , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
May2021
|
| Acceso en línea: | Ver este registro en EBSCOhost |