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

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 developed and...

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Detalles Bibliográficos
Autores principales: Wu, Jiangfen, Liu, Nijun, Li, Xianjun, Fan, Qianrui, Li, Zhihao, Shang, Jin, Wang, Fei, Chen, Bowei, Shen, Yuanwang, Cao, Pan, Liu, Zhe, Li, Miaoling, Qian, Jiayao, Yang, Jian, Sun, Qinli
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885575/
https://www.ncbi.nlm.nih.gov/pubmed/36717773
http://dx.doi.org/10.1186/s12880-023-00975-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9885575/
https://www.ncbi.nlm.nih.gov/pubmed/36717773
http://dx.doi.org/10.1186/s12880-023-00975-x

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