Multi-scale graph learning for ovarian tumor segmentation from CT images

Ovarian cancer is the gynecological malignant tumor with low early diagnosis rate and high mortality. Automated and reliable segmentation of ovarian tumor plays an essential role in ovarian cancer radiotherapy, which assists radiologists to assess cancer progresses and make fast therapeutic schedules. However, ovarian cancer is characterized by polycentric tumors and the tumors are irregular in size, which makes the tumor