A Multi-Head Attention-Based Lightweight Generative Adversarial Network for Thyroid Ultrasound Video Super-Resolution

A Multi-Head Attention-Based Lightweight Generative Adversarial Network for Thyroid Ultrasound Video Super-Resolution

Thyroid cancer is a prevalent malignancy, highlighting the critical need for early detection of thyroid nodules. Despite ultrasound being the primary diagnostic modality, its limited resolution often hampers the accuracy of identifying malignant nodules. Method: We present a cutting-edge deep learni...

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Bibliographic Details
Main Authors: Yuchen Ning, Xianshuang Meng, Lingxiao Zhou, Jun Liu, Shijie Qiu, Jingfang Wu, Xi Wei, Jun Ying, Siwei Zhu, Yantian Zhang
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Video super resolution
deep learning
image reconstruction
ultrasound image
deep generative models
Online Access:https://ieeexplore.ieee.org/document/11006033/
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