A Nomogram Combined Radiomic and Semantic Features as Imaging Biomarker for Classification of Ovarian Cystadenomas

A Nomogram Combined Radiomic and Semantic Features as Imaging Biomarker for Classification of Ovarian Cystadenomas

Objective: To construct and validate a combined Nomogram model based on radiomic and semantic features to preoperatively classify serous and mucinous pathological types in patients with ovarian cystadenoma.Methods: A total of 103 patients with pathology-confirmed ovarian cystadenoma who underwent CT...

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Bibliographic Details
Main Authors: Shushu Pan, Zhongxiang Ding, Lexing Zhang, Mei Ruan, Yanna Shan, Meixiang Deng, Peipei Pang, Qijun Shen
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-06-01
Series:Frontiers in Oncology
Subjects:
ovarian neoplasms
cystadenoma
algorithm
classification
tomography
x-ray computed
Online Access:https://www.frontiersin.org/article/10.3389/fonc.2020.00895/full

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