Deep learning-based algorithm improves radiologists’ performance in lung cancer bone metastases detection on computed tomography

Deep learning-based algorithm improves radiologists’ performance in lung cancer bone metastases detection on computed tomography

PurposeTo develop and assess a deep convolutional neural network (DCNN) model for the automatic detection of bone metastases from lung cancer on computed tomography (CT)MethodsIn this retrospective study, CT scans acquired from a single institution from June 2012 to May 2022 were included. In total,...

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Bibliographic Details
Main Authors: Tongtong Huo, Yi Xie, Ying Fang, Ziyi Wang, Pengran Liu, Yuyu Duan, Jiayao Zhang, Honglin Wang, Mingdi Xue, Songxiang Liu, Zhewei Ye
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-02-01
Series:Frontiers in Oncology
Subjects:
artificial intelligence
deep learning
deep convolutional neural network
lung cancer bone metastases
computer-aided diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fonc.2023.1125637/full

Internet

https://www.frontiersin.org/articles/10.3389/fonc.2023.1125637/full

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