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...

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Detalles Bibliográficos
Autores principales: Yousefpour Shahrivar, Ramin, Karami, Fatemeh, Karami, Ebrahim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669151/
https://www.ncbi.nlm.nih.gov/pubmed/37999160
http://dx.doi.org/10.3390/biomimetics8070519

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10669151/
https://www.ncbi.nlm.nih.gov/pubmed/37999160
http://dx.doi.org/10.3390/biomimetics8070519

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