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...

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Detalles Bibliográficos
Autores principales: Zheng, Yawen, Wang, Fang, Zhang, Wenxia, Li, Yongmei, Yang, Bo, Yang, Xingsheng, Dong, Taotao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Oncology
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

Internet

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

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