Towards unsupervised ultrasound video clinical quality assessment with multi-modality data
Video quality assurance is an important topic in obstetric ultrasound imaging to ensure that captured videos are suitable for biometry and fetal health assessment. Previously, one successful objective approach to automated ultrasound image quality assurance has considered it as a supervised learning...
| Main Authors: | , , , , , , |
|---|---|
| Formato: | Conference item |
| Idioma: | English |
| Publicado em: |
Springer
2022
|