Deep learning nomogram for predicting neoadjuvant chemotherapy response in locally advanced gastric cancer patients.
Purpose: Developed and validated a deep learning radiomics nomogram using multi-phase contrast-enhanced computed tomography (CECT) images to predict neoadjuvant chemotherapy (NAC) response in locally advanced gastric cancer (LAGC) patients. Methods: This multi-center study retrospectively included 3...
| Publicado en: | Abdominal Radiology Vol. 49; no. 11; pp. 3780 - 3797 |
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| Autores principales: | , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Nov2024
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| Acceso en línea: | Ver este registro en EBSCOhost |