Introduction
malignancy, cancer
MULTIPLE CANCER, MALIGNANT NEOPLASM, CANCER, CERVICAL CANCER, CERVICAL CANCER, PATHOLOGY
Cervical cancer is the most common gynecologic malignancy (Sung Pathologic biopsy is recognized as the golden standard for measuring malignant neoplasms and HE staining is the most used method in the routine (Coudray et al. Whole slide imaging (WSI), as an advanced digital pathology, has recently received much attention for its utility in cancer diagnosis. WSI combined with convolutional neural networks (CNN) algorithms can significantly simplify the process of pathological diagnosis and alleviate the burden on pathologists. It has already been utilized in measuring multiple cancers. Based on WSI and clinical data, an interpretable, weakly supervised deep-learning framework has been proposed by Shi et al. (In this study, we chose the classic HE-staining images in combination with clinicopathologic characteristics to establish a deep-learning model (Fig. The schematic of collection and analyzation of cervical cancer pathological images and clinicopathologic characteristics based on deep learning