Accurate classification of lung nodules on CT images using the TransUnet

BackgroundComputed tomography (CT) is an effective way to scan for lung cancer. The classification of lung nodules in CT screening is completely doctor dependent, which has drawbacks, including difficulty classifying tiny nodules, subjectivity, and high false-positive rates. In recent years, deep co...

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Bibliographic Details

Main Authors:	Hongfeng Wang, Hai Zhu, Lihua Ding
Format:	Artigo
Language:	Inglês
Published:	Frontiers Media S.A. 2022-12-01
Series:	Frontiers in Public Health
Subjects:	lung cancer computed tomography lung nodules classification deep convolutional neural networks LIDI-IDRI
Online Access:	https://www.frontiersin.org/articles/10.3389/fpubh.2022.1060798/full
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