Multiple U-Net-Based Automatic Segmentations and Radiomics Feature Stability on Ultrasound Images for Patients With Ovarian Cancer

Multiple U-Net-Based Automatic Segmentations and Radiomics Feature Stability on Ultrasound Images for Patients With Ovarian Cancer

Few studies have reported the reproducibility and stability of ultrasound (US) images based radiomics features obtained from automatic segmentation in oncology. The purpose of this study is to study the accuracy of automatic segmentation algorithms based on multiple U-net models and their effects on...

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Bibliographic Details
Main Authors: Juebin Jin, Haiyan Zhu, Jindi Zhang, Yao Ai, Ji Zhang, Yinyan Teng, Congying Xie, Xiance Jin
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Oncology
Subjects:
automatic segmentation
U-net
ultrasound images
radiomics
ovarian cancer
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2020.614201/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2020.614201/full

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