Early Prediction and Analysis of Fetal Abnormalities using Machine Learning Models

Abstract

The purpose of this literature review is to provide a thorough overview of current state-of-the-art approaches, problems, and future possibilities in the field of fetal anomaly classification utilising deep learning CNN Models. The findings from the examination of the 10 influential models  will be used to build a robust and accurate machine learning-based system for fetal anomaly classification. This research has the potential to greatly contribute to improved fetal healthcare.