Enhancing Fetal Anomaly Detection in Ultrasonography Images: A Review of Machine Learning-Based Approaches
Fetal development is a critical phase in prenatal care, demanding the timely identification of anomalies in ultrasound images to safeguard the well-being of both the unborn child and the mother. Medical imaging has played a pivotal role in detecting fetal abnormalities and malformations. However, de...
| Κύριοι συγγραφείς: | , , |
|---|---|
| Μορφή: | Άρθρο |
| Γλώσσα: | English |
| Έκδοση: |
MDPI AG
2023-11-01
|
| Σειρά: | Biomimetics |
| Θέματα: | |
| Διαθέσιμο Online: | https://www.mdpi.com/2313-7673/8/7/519 |