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Article type: Research Article
Authors: Sriraam, Natarajana; * | Chinta, Babub | Suresh, Seshadhric | Sudharshan, Sureshc
Affiliations: [a] Department of Medical Electronics Engineering, Center for Medical Electronics and Computing, Ramaiah Institute of Technology, Bangalore, India | [b] Center for Medical Electronics and Computing, Ramaiah Institute of Technology, Bangalore, India | [c] Mediscans Pvt Ltd, Chennai, India
Correspondence: [*] Corresponding author. Natarajan Sriraam, Department of Medical Electronics Engineering, Center for Medical Electronics and Computing, Ramaiah Institute of Technology, Bangalore, India. E-mail: [email protected].
Abstract: Assessing fetal growth and development requires accurate identification of the fetal area contour and measurement of the Crown-Rump Length (CRL). In this paper, we presented a unique method for autonomously segmenting the fetal region in ultrasound images and calculating the CRL based on the U-Net architecture. Because of its capacity to capture both global and local information, the U-Net model is a popular choice for image segmentation tasks. Our method employs the U-Net model to extract the fetal region contour and measure the CRL, resulting in a dependable and efficient prenatal evaluation solution.
Keywords: Fetal, segmentation, U-Net, ultrasound image
DOI: 10.3233/JIFS-219403
Journal: Journal of Intelligent & Fuzzy Systems, vol. Pre-press, no. Pre-press, pp. 1-7, 2024
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