Deep transfer learning to quantify pleural effusion severity in chest X-rays

PURPOSE: The detection of pleural effusion in chest radiography is crucial for doctors to make timely treatment decisions for patients with chronic obstructive pulmonary disease. We used the MIMIC-CXR database to develop a deep learning model to quantify pleural effusion severity in chest radiograph...

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Detalles Bibliográficos
Autores principales: Huang, Tao, Yang, Rui, Shen, Longbin, Feng, Aozi, Li, Li, He, Ningxia, Li, Shuna, Huang, Liying, Lyu, Jun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9137166/
https://www.ncbi.nlm.nih.gov/pubmed/35624426
http://dx.doi.org/10.1186/s12880-022-00827-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9137166/
https://www.ncbi.nlm.nih.gov/pubmed/35624426
http://dx.doi.org/10.1186/s12880-022-00827-0

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