To further achieve fine segmentation with clear boundaries, we propose a Boundary-aware Loss, which dynamically adjusts supervised signal, so that our model ...
To further achieve fine segmentation with clear boundaries, we propose a Boundary- aware Loss, which dynamically adjusts supervised signal, so that our model ...
The proposed Information Enhancement Module uses classification information as a beneficial supplement to locate lesion quickly for segmentation. To further ...
Jun 26, 2024 · Ultrasound Imaging. Conference Paper. Boundary-aware Segmentation Network Using Multi-Task Enhancement for Ultrasound Image. December 2020. DOI ...
Sep 22, 2021 · Boundary-aware Segmentation Network Using Multi-Task Enhancement for Ultrasound Image 会议论文 期刊论文 · Yu, Ruiguo(于瑞国) · Yu, Mei(喻梅) · Wei, ...
Boundary-aware convolutional attention network for liver ... - Nature
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Sep 15, 2024 · This paper proposes BACANet, a deep learning algorithm designed for real-time liver ultrasound segmentation.
Boundary-aware Segmentation Network Using Multi-Task Enhancement for Ultrasound Image · 来自Semantic Scholar. 作者. R Yu，J Hu，M Yu，X Wei，X Li. 摘要.
Our network uses the confidence map to evaluate the uncertainty of each pixel to enhance the segmentation of ambiguous boundary. On the one hand, the ...
Feb 7, 2022 · In this paper, a multi-task learning approach is proposed for the segmentation and classification of tumors in breast ultrasound images.
We propose a new feedback refinement boundary network (FRBNet) for accurate segmentation of breast tumour regions in ultrasound images.