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

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

Abstract 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 ra...

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Bibliographic Details
Main Authors: Tao Huang, Rui Yang, Longbin Shen, Aozi Feng, Li Li, Ningxia He, Shuna Li, Liying Huang, Jun Lyu
Format: Article
Language:English
Published: BMC 2022-05-01
Series:BMC Medical Imaging
Subjects:
Pleural effusion
Severity
Deep learning
X-rays
Chest radiographs
MIMIC-CXR
Online Access:https://doi.org/10.1186/s12880-022-00827-0

Internet

https://doi.org/10.1186/s12880-022-00827-0

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