Artificial intelligence algorithm for preoperative prediction of FIGO stage in ovarian cancer based on clinical features integrated 18F-FDG PET/CT metabolic and radiomics features
Abstract Purpose The International Federation of Gynecology and Obstetric (FIGO) stage is critical to guiding the treatments of ovarian cancer (OC). We tried to develop a model to predict the FIGO stage of OC through machine learning algorithms with patients’ pretreatment clinical, positron emission...
| Main Authors: | , , , , , , , , , , , , |
|---|---|
| 格式: | 文件 |
| 语言: | English |
| 出版: |
Springer
2025-02-01
|
| 丛编: | Journal of Cancer Research and Clinical Oncology |
| 主题: | |
| 在线阅读: | https://doi.org/10.1007/s00432-025-06134-9 |