Fetal Ultrasound Brain Biometry: An Integrated Deep Learning Framework-Reference-Cited by-同舟云学术

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Fetal Ultrasound Brain Biometry: An Integrated Deep Learning Framework

Published:2024-03-27 Issue: Volume:37 Page:1-3
ISSN:
Container-title:2024 IEEE South Asian Ultrasonics Symposium (SAUS)
language:
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Author:

Kowsalya B.U¹,Sankaran Sathiya Murthi²,Mohanram N³,Thittai Arun K.¹

Affiliation:

1. Indian Institute of Technology Madras,Department of Applied Mechanics and Biomedical Engineering,Chennai,India

2. University of Southern California,Computer Science,Los Angeles,California,USA

3. Madras Medical College,Radiologist (retired),Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10562384/10563223/10563575.pdf?arnumber=10563575

Reference12 articles.

1. and on behalf of the ISUOG Clinical Standards Committee;Salomon;Ultrasound in Obstetrics & Gynecology,2011

2. Automatic fetal biometry prediction using a novel deep convolutional network architecture

3. DeepGA for automatically estimating fetal gestational age through ultrasound imaging

4. Analysis of maturation features in fetal brain ultrasound via artificial intelligence for the estimation of gestational age

5. A Dual Adversarial Calibration Framework for Automatic Fetal Brain Biometry

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