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Deep Learning Measurement Model to Segment the Nuchal Translucency Region for the Early Identification of Down Syndrome Cover

Deep Learning Measurement Model to Segment the Nuchal Translucency Region for the Early Identification of Down Syndrome

Measurement Science Review
Volume 22 (2022): Issue 4 (August 2022)
By: Mary Christeena Thomas and  Sridhar P. Arjunan  
Open Access
|May 2022

Authors

Mary Christeena Thomas

teenablue123@gmail.com

Department of Electronics and Instrumentation, SRM Institute of Science and Technology Kattankulathur, India

Sridhar P. Arjunan

sridhara1@srmist.edu.in

Department of Electronics and Instrumentation, SRM Institute of Science and Technology Kattankulathur, India
DOI: https://doi.org/10.2478/msr-2022-0023 | Journal eISSN: 1335-8871
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Language: English
Page range: 187 - 192
Submitted on: Nov 22, 2021
|
Accepted on: Apr 19, 2022
|
Published on: May 14, 2022
Published by: Slovak Academy of Sciences, Institute of Measurement Science
In partnership with: Paradigm Publishing Services
Publication frequency: Volume open
Keywords:
Fetus,
Down syndrome,
Nuchal translucency,
Deep neural network,
convolution,
SegNet
Related subjects:
Engineering,
Electrical engineering,
Control engineering, metrology and testing

© 2022 Mary Christeena Thomas, Sridhar P. Arjunan, published by Slovak Academy of Sciences, Institute of Measurement Science
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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