Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study

Convolutional neural network for detecting rib fractures on chest radiographs: a feasibility study

Abstract Background Chest radiography is the standard investigation for identifying rib fractures. The application of artificial intelligence (AI) for detecting rib fractures on chest radiographs is limited by image quality control and multilesion screening. To our knowledge, few studies have develo...

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Bibliographic Details
Main Authors: Jiangfen Wu, Nijun Liu, Xianjun Li, Qianrui Fan, Zhihao Li, Jin Shang, Fei Wang, Bowei Chen, Yuanwang Shen, Pan Cao, Zhe Liu, Miaoling Li, Jiayao Qian, Jian Yang, Qinli Sun
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Medical Imaging
Subjects:
Rib fracture
Convolutional neural network
YOLO
Detection model
Radiograph
Online Access:https://doi.org/10.1186/s12880-023-00975-x

Internet

https://doi.org/10.1186/s12880-023-00975-x

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