Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomics

Automatic recognition and differentiation of pulmonary contusion and bacterial pneumonia based on deep learning and radiomics

Abstract Background In clinical work, there are difficulties in distinguishing pulmonary contusion(PC) from bacterial pneumonia(BP) on CT images by the naked eye alone when the history of trauma is unknown. Artificial intelligence is widely used in medical imaging, but its diagnostic performance for...

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Bibliographic Details
Main Authors: Tie Deng, Junbang Feng, Xingyan Le, Yuwei Xia, Feng Shi, Fei Yu, Yiqiang Zhan, Xinghua Liu, Chuanming Li
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Imaging
Subjects:
Pulmonary contusion
Bacterial pneumonia
Deep learning
Radiomics
Tomography
X-ray computed
Online Access:https://doi.org/10.1186/s12880-025-01802-1
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https://doi.org/10.1186/s12880-025-01802-1

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