CT-Based radiomics and deep learning for the preoperative prediction of peritoneal metastasis in ovarian cancers.
Objectives: To develop a CT-based deep learning radiomics nomogram (DLRN) for the preoperative prediction of peritoneal metastasis (PM) in patients with ovarian cancer (OC). Methods: A total of 296 patients with OCs were randomly divided into training dataset (N = 207) and test dataset (N = 89). The...
| Publicado en: | Abdominal Radiology Vol. 51; no. 4; pp. 2044 - 2058 |
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| Autores principales: | , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Apr2026
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| Acceso en línea: | Ver este registro en EBSCOhost |