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- Title
VP18.04: Automatic evaluation of the cardiothoracic area ratio and cardiac axis in fetal ultrasound using deep learning.
- Authors
Shozu, K.; Komatsu, M.; Sakai, A.; Dozen, A.; Komatsu, R.; Arakaki, T.; Yasutomi, S.; Matsuoka, R.; Nakashima, A.; Sekizawa, A.; Hamamoto, R.
- Abstract
Conclusions It was suggested that our proposed model could calculate CTAR and CA automatically by inputting 4CV ultrasound images and combining the segmentation results of each structure. The abnormal findings of the fetal cardiothoracic area ratio (CTAR) and cardiac axis (CA) are manifested as a result of various factors such as fetal heart dysfunction and compensatory state.
- Subjects
FETAL ultrasonic imaging; DEEP learning; HEART septum; ARTIFICIAL intelligence; FETAL heart; FETAL echocardiography; ULTRASONIC imaging
- Publication
Ultrasound in Obstetrics & Gynecology, 2021, Vol 58, p173
- ISSN
0960-7692
- Publication type
Article
- DOI
10.1002/uog.24300