FetSAM: Advanced Segmentation Techniques for Fetal Head Biometrics in Ultrasound Imagery

FetSAM: Advanced Segmentation Techniques for Fetal Head Biometrics in Ultrasound Imagery

<italic>Goal:</italic> FetSAM represents a cutting-edge deep learning model aimed at revolutionizing fetal head ultrasound segmentation, thereby elevating prenatal diagnostic precision. <italic>Methods:</italic> Utilizing a comprehensive dataset&#x2013;the largest to date...

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Bibliographic Details
Main Authors: Mahmood Alzubaidi, Uzair Shah, Marco Agus, Mowafa Househ
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Engineering in Medicine and Biology
Subjects:
Fetal Ultrasound Imaging
Image Segmentation
Prompt-based Learning
Prenatal Diagnostics
Ultrasound Biometrics
Online Access:https://ieeexplore.ieee.org/document/10480532/
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https://ieeexplore.ieee.org/document/10480532/

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