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...
Saved in:
Main Authors: | Warasinee Chaisangmongkon, Isarun Chamveha, Tretap Promwiset, Pairash Saiviroonporn, Trongtum Tongdee |
---|---|
Other Authors: | Siriraj Hospital |
Format: | Article |
Published: |
2022
|
Subjects: | |
Online Access: | https://repository.li.mahidol.ac.th/handle/123456789/76735 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Mahidol University |
Similar Items
-
A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence
by: Pairash Saiviroonporn, et al.
Published: (2022) -
Cardiothoracic ratio measurement using artificial intelligence: observer and method validation studies
by: Pairash Saiviroonporn, et al.
Published: (2022) -
A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence
by: Saiviroonporn P.
Published: (2023) -
Automatic measurement of cardiothoracic ratio in chest x-ray images with ProGAN-generated dataset
by: Kusakunniran W.
Published: (2023) -
Cardiothoracic Ratio in the First Half of Pregnancy
by: Tongsong T., et al.
Published: (2014)