Two-dimensional and three-dimensional T2 weighted imaging-based radiomic signatures for the preoperative discrimination of ovarian borderline tumors and malignant tumors

• Main Authors: Xuefen Liu (Author), Tianping Wang (Author), Guofu Zhang (Author), Keqin Hua (Author), Hua Jiang (Author), Shaofeng Duan (Author), Jun Jin (Author), He Zhang (Author)
• Format: Book
• Published: BMC, 2022-02-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Ovarian cancer is the most women malignancy in the whole world. It is difficult to differentiate ovarian cancers from ovarian borderline tumors because of some similar imaging findings.Radiomics study may help clinicians to make a proper diagnosis before invasive surgery. Purpose...