Enhancing Fetal Anomaly Detection in Ultrasonography Images: A Review of Machine Learning-Based Approaches

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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Bibliographic Details
Main Authors: Ramin Yousefpour Shahrivar, Fatemeh Karami, Ebrahim Karami
Format: Article
Language:English
Published: MDPI AG 2023-11-01
Series:Biomimetics
Subjects:
fetal anomaly
prenatal diagnosis
machine learning
deep learning
ultrasonography imaging
Online Access:https://www.mdpi.com/2313-7673/8/7/519

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https://www.mdpi.com/2313-7673/8/7/519

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