Early Prediction and Analysis of Fetal Abnormalities Using Deep Learning CNN 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 5 influential models  will be used to build a robust and accurate deep learning-based system for fetal anomaly classification. This research has the potential to greatly contribute to improved fetal healthcare.