Automatic renal mass segmentation and classification on CT images based on 3D U-Net and ResNet algorithms

Automatic renal mass segmentation and classification on CT images based on 3D U-Net and ResNet algorithms

PurposeTo automatically evaluate renal masses in CT images by using a cascade 3D U-Net- and ResNet-based method to accurately segment and classify focal renal lesions.Material and MethodsWe used an institutional dataset comprising 610 CT image series from 490 patients from August 2009 to August 2021...

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Bibliographic Details
Main Authors: Tongtong Zhao, Zhaonan Sun, Ying Guo, Yumeng Sun, Yaofeng Zhang, Xiaoying Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Oncology
Subjects:
renal mass
contrast-enhanced computed tomography
deep learning
U-Net
residual network
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1169922/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1169922/full

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