Histologic subtype classification of non-small cell lung cancer using PET/CT images.
Purposes: To evaluate the capability of PET/CT images for differentiating the histologic subtypes of non-small cell lung cancer (NSCLC) and to identify the optimal model from radiomics-based machine learning/deep learning algorithms. Methods: In this study, 867 patients with adenocarcinoma (ADC) and...
| Publicado en: | European Journal of Nuclear Medicine & Molecular Imaging Vol. 48; no. 2; pp. 350 - 361 |
|---|---|
| Autores principales: | , , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
2021
|
| Acceso en línea: | Ver este registro en EBSCOhost |