Fig. 1

The workflow of whole study. The workflow consists of four main steps: Data collection and preprocessing, which involves the acquisition of CT images and clinical pathological data; Image segmentation and feature extraction, which includes the extraction of four types of features: shape features, first-order features, textural features, and wavelet features; Feature selection, which is performed using Pearson correlation analysis and the LASSO Cox regression algorithm; and Model construction and validation, which includes the development of a nomogram

TCGA-TCIA, The Cancer Genome Atlas and The Cancer Imaging Archive; EOC, epithelial ovarian cancer; CT, computed tomography; LASSO, least absolute shrinkage and selection operator; FIGO, International Federation of Gynecology and Obstetrics; Rad-score, radiomics score