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

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

<p><br></p><h3>Goal</h3><p dir="ltr">FetSAM represents a cutting-edge deep learning model aimed at revolutionizing fetal head ultrasound segmentation, thereby elevating prenatal diagnostic precision. </p><h3>Methods</h3><p dir="...

Full description

Saved in:
Bibliographic Details
Main Author: Mahmood Alzubaidi (15740693) (author)
Other Authors: Uzair Shah (15740699) (author), Marco Agus (8032898) (author), Mowafa Househ (9154124) (author)
Published: 2024
Subjects:
Biomedical and clinical sciences
Clinical sciences
Information and computing sciences
Artificial intelligence
Fetal Ultrasound Imaging
Image Segmentation
Prompt-based Learning
Prenatal Diagnostics
Ultrasound Biometrics
Ultrasonic imaging
Image segmentation
Head
Brain modeling
Biological system modeling
Imaging
Ultrasonic variables measurement
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items