A robust approach for endotracheal tube localization in chest radiographs

A robust approach for endotracheal tube localization in chest radiographs

Precise detection and localization of the Endotracheal tube (ETT) is essential for patients receiving chest radiographs. A robust deep learning model based on U-Net++ architecture is presented for accurate segmentation and localization of the ETT. Different types of loss functions related to distrib...

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Bibliographic Details
Main Authors: Chung-Chian Hsu, Rasoul Ameri, Chih-Wen Lin, Jia-Shiang He, Meghdad Biyari, Atefeh Yarahmadi, Shahab S. Band, Tin-Kwang Lin, Wen-Lin Fan
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-05-01
Series:Frontiers in Artificial Intelligence
Subjects:
endotracheal tube
chest radiograph
deep learning
medical image segmentation
U-Net++
Online Access:https://www.frontiersin.org/articles/10.3389/frai.2023.1181812/full

Internet

https://www.frontiersin.org/articles/10.3389/frai.2023.1181812/full

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