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A clinical evaluation study of cardiothoracic ratio measurement using artificial intelligence

Pairash Saiviroonporn1, Suwimon Wonglaksanapimon2, Warasinee Chaisangmongkon3

  • 1Department of Radiology, Faculty of Medicine Siriraj Hospital, Mahidol University, 2 Wanglang Road, Bangkoknoi, Bangkok, 10700, Thailand.

BMC Medical Imaging
|March 17, 2022
PubMed
Summary

The AlbuNet+VGG-11 deep learning model significantly improves cardiothoracic ratio measurement accuracy and efficiency on chest X-rays, reducing radiologist workload in clinical practice.

Keywords:
AICXRCardiothoracic ratioClinical evaluationDeep learning

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