A Hybrid Efficient U-Net Framework for Detection of Anterior Belly of the Digastric Muscle on Ultrasonography

A Hybrid Efficient U-Net Framework for Detection of Anterior Belly of the Digastric Muscle on Ultrasonography

The digastric muscle is an important muscle involved in functions such as chewing and swallowing. Ultrasonography is the preferred method for imaging the soft tissues of the head and neck but is highly operator-dependent. Artificial intelligence, particularly deep learning-based segmentation models,...

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Bibliographic Details
Main Authors: Sule Erdem, Suheda Erdem, Muammer Turkoglu, Abdulkadir Sengur, Nebras M. Sobahi
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Digastric muscle
radiological image segmentation
ultrasonography
deep learning
hybrid framework
U-net
Online Access:https://ieeexplore.ieee.org/document/10847819/
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