EBTNet: Efficient Bilateral Token Mixer Network for Fetal Cardiac Ultrasound Image Segmentation

EBTNet: Efficient Bilateral Token Mixer Network for Fetal Cardiac Ultrasound Image Segmentation

Fetal cardiac ultrasound apical 4-chamber (A4C) view segmentation with deep learning technique is a crucial auxiliary to diagnosing congenital heart disease. Due to the complexity and variety of morphology in ultrasound images, the accurate segmentation of the A4C view is still a tricky task. Also,...

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Bibliographic Details
Main Authors: Yuchi Pan, Liang Niu, Xu Yang, Qiang Niu, Binghua Chen
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Fetal cardiac ultrasound A4C view
segmentation
global feature
local feature
token mixer
channel and space token
Online Access:https://ieeexplore.ieee.org/document/10630507/
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