CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors

CNN-based automatic segmentations and radiomics feature reliability on contrast-enhanced ultrasound images for renal tumors

ObjectiveTo investigate the feasibility and efficiency of automatic segmentation of contrast-enhanced ultrasound (CEUS) images in renal tumors by convolutional neural network (CNN) based models and their further application in radiomic analysis.Materials and methodsFrom 94 pathologically confirmed r...

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Bibliographic Details
Main Authors: Yin Yang, Fei Chen, Hongmei Liang, Yun Bai, Zhen Wang, Lei Zhao, Sai Ma, Qinghua Niu, Fan Li, Tianwu Xie, Yingyu Cai
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-06-01
Series:Frontiers in Oncology
Subjects:
automatic segmentation
contrast-enhanced ultrasound
renal tumors
deep learning
UNet
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1166988/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1166988/full

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