External Validation of Deep Learning Algorithms for Cardiothoracic Ratio Measurement

External Validation of Deep Learning Algorithms for Cardiothoracic Ratio Measurement

Recent advances in machine learning have made it possible to create automated systems for medical image diagnosis. Cardiothoracic ratio (CTR) measurement, a common procedure for assessing cardiac abnormality in chest radiographs, has been investigated by several deep learning studies aiming to autom...

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Bibliographic Details
Main Authors: Warasinee Chaisangmongkon, Isarun Chamveha, Tretap Promwiset, Pairash Saiviroonporn, Trongtum Tongdee
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Deep learning
convolutional neural network
chest X-ray
medical image analysis
Online Access:https://ieeexplore.ieee.org/document/9502122/

Internet

https://ieeexplore.ieee.org/document/9502122/

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