Table 1 Comparison of the existing methods for Maternal-Fetal ultrasound Analayis.

From: Fetal-Net: enhancing Maternal-Fetal ultrasound interpretation through Multi-Scale convolutional neural networks and Transformers

Study

Techniques

Methodology

Dataset

Results

4

CNN

Circumference detection

2D images

Skull

18

DRINet

Medical segmentation

Fetal images

Segmentation

26

Integral Projection

Gestational age estimation

Fetal images

Age

27

CNN

Automated measurement of fetal head

2D images

Measurement

28

Multi-Scale View, DNN

Localization of fetal head

2D images

Head

6

SoC with Deep Learning

Real-time biometric measurement

Fetal ultrasound images

High Performance

10

Stacked Ensemble Models

Standard plane classification

Ultrasound

Enhanced Accuracy

11

Deep Learning Segmentation

Biometric parameter measurement (1st trimester)

Ultrasound

High Accuracy

23

Ensemble Deep Learning

Fetal plane identification

Multiple ultrasound images

Improved Identification Accuracy