Performance and educational training of radiographers in lung nodule or mass detection: Retrospective comparison with different deep learning algorithms

The aim of this investigation was to compare the diagnostic performance of radiographers and deep learning algorithms in pulmonary nodule/mass detection on chest radiograph. A test set of 100 chest radiographs containing 53 cases with no pathology (normal) and 47 abnormal cases (pulmonary nodules/ma...

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Detalles Bibliográficos
Autores principales: Teng, Pai-Hsueh, Liang, Chia-Hao, Lin, Yun, Alberich-Bayarri, Angel, González, Rafael López, Li, Pin-Wei, Weng, Yu-Hsin, Chen, Yi-Ting, Lin, Chih-Hsien, Chou, Kang-Ju, Chen, Yao-Shen, Wu, Fu-Zong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2021
Materias:
6800
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202613/
https://www.ncbi.nlm.nih.gov/pubmed/34115023
http://dx.doi.org/10.1097/MD.0000000000026270

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202613/
https://www.ncbi.nlm.nih.gov/pubmed/34115023
http://dx.doi.org/10.1097/MD.0000000000026270

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