A Comparative Study of Different Segmentation and Regression Models for Fetal Head Circumference Measurement-Reference-Cited by-同舟云学术

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A Comparative Study of Different Segmentation and Regression Models for Fetal Head Circumference Measurement

Published:2024-02-22 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)
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Author:

Ahmed Pathik¹,Yusuf Md. Salah Uddin¹,Sarker Sowmik¹,Chowdhury Abdullahi²,Bhowmik Angkita³,Rahman Faria⁴

Affiliation:

1. Khulna University of Eng. & Tech.,Dept. of Electrical & Electronic Eng.,Khulna,Bangladesh

2. School of Comp. and Mathematical Sciences, The University of Adelaide,Adelaide,Australia

3. Khulna University of Eng. & Tech.,Dept. of Urban & Regional Planning,Khulna,Bangladesh

4. Inst. of Info. & Communication Tech., Khulna University of Eng. & Tech.,Khulna,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10493200/10493145/10493596.pdf?arnumber=10493596

Reference19 articles.

1. Improving Fetal Head Contour Detection by Object Localisation with Deep Learning

2. Explainability for Regression CNN in Fetal Head Circumference Estimation from Ultrasound Images

3. Head circumference measurement with deep learning approach based on multi-scale ultrasound images

4. Deep learning fetal ultrasound video model match human observers in biometric measurements

5. Automatic evaluation of fetal head biometry from ultrasound images using machine learning

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