Prediction of surgical outcomes in ovarian cancer based on ct imaging

HIGHLIGHTS

  • What: In building the model a fuzzy matrix is used to analyze multiple evaluation indicators including the area under the receiver operating characteristic (ROC) curve (AUC). Inclusion and exclusion criteria will be based on the research objectives. The project aims to provide new insights for cancer diagnosis, prognosis assessment, and treatment monitoring, supporting personalized and precise medical treatments. Acknowledging that each patient carries significant hopes and expectations, the aim of this study is to offer more precise diagnoses and treatment plans through this research, ultimately leading to improved treatment outcomes.
  • Who: Jingshu Li from the . . .

     

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