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Preoperative CT-based deep learning model for predicting overall survival in patients with high-grade serous ovarian cancer
PURPOSE: High-grade serous ovarian cancer (HGSOC) is aggressive and has a high mortality rate. A Vit-based deep learning model was developed to predicting overall survival in HGSOC patients based on preoperative CT images. METHODS: 734 patients with HGSOC were retrospectively studied at Qilu Hospita...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9504666/ https://www.ncbi.nlm.nih.gov/pubmed/36158664 http://dx.doi.org/10.3389/fonc.2022.986089 |