GMS-UHRNet: a global multi-scale spatial U-HRNet for breast ultrasound image segmentation

Siyu Lai

doi:10.1117/12.3033590

13 June 2024 GMS-UHRNet: a global multi-scale spatial U-HRNet for breast ultrasound image segmentation

Siyu Lai

Proceedings Volume 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024); 1318016 (2024) https://doi.org/10.1117/12.3033590
Event: International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 2024, Guangzhou, China

Abstract

Automated breast ultrasound image segmentation enhances radiologists' ability to enhance breast cancer diagnosis accuracy. In view of the inherent speckle artifacts, fuzzy breast lesion boundaries, and inhomogeneity within breast lesions in ultrasound images, this paper proposes a multiscale residual UHRNet network based on a global multiscale attention mechanism (GMS-UHRNet) to enhance the segmentation accuracy of breast lesions in ultrasound images. On the basic framework of UHRNet, the feature expression ability is effectively improved by parallel multiscale residual fusion approach, which enhances the segmentation accuracy and robustness of the network. In the GMS-UHRNet network, a global multiscale attention mechanism is added, which successfully reduces the semantic difference with the encoder and enables the network to recognize breast lesion regions more accurately. Extensive experiments on the BUSI dataset demonstrate the network's superior performance in breast ultrasound lesion segmentation compared to other medical image segmentation methods.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Siyu Lai "GMS-UHRNet: a global multi-scale spatial U-HRNet for breast ultrasound image segmentation", Proc. SPIE 13180, International Conference on Image, Signal Processing, and Pattern Recognition (ISPP 2024), 1318016 (13 June 2024); https://doi.org/10.1117/12.3033590

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KEYWORDS

Image segmentation

Breast

Convolution

Ultrasonography

Image enhancement

Semantics

Breast cancer

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