GRU2-Net: Global response double U-shaped network for lesion segmentation in ultrasound images

GRU2-Net: Global response double U-shaped network for lesion segmentation in ultrasound images

Abstract Ultrasound imaging is widely used for diagnosing various medical conditions. However, lesion segmentation in ultrasound images is challenging due to low contrast, noise, blurred boundaries, and variability in lesion characteristics. To address these issues, we propose a Global Response Doub...

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Bibliographic Details
Main Authors: Xiaokai Jiang, Xuewen Ding, Jinying Ma, Chunyu Liu, Xinyi Li
Format: Article
Language:English
Published: Elsevier 2025-08-01
Series:Journal of King Saud University: Computer and Information Sciences
Subjects:
Ultrasound images
Lesion segmentation
U-Net
Transformer
Response normalization
Attention mechanism
Online Access:https://doi.org/10.1007/s44443-025-00206-z
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https://doi.org/10.1007/s44443-025-00206-z

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