面向腹腔超声图像出血区域的双域多尺度注意力分析网络DMA-UNet

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Publication Details

Journal
Journal of Image and Graphics
Published
2026-01-01
DOI
https://doi.org/10.11834/jig.250510
Primary Topic
Brain Tumor Detection and Classification
Type
article
Field-Weighted Citation Impact
0.00
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article

面向腹腔超声图像出血区域的双域多尺度注意力分析网络DMA-UNet

Deng Na, 上海工程技术大学电子电气工程学院，上海市 201600 School of Electronic and Electrical Engineering， Shanghai University of Engineering Science，Shanghai 201600，China, Wang Xuan
Journal of Image and Graphics
Brain Tumor Detection and Classification
article

面向腹腔超声图像出血区域的双域多尺度注意力分析网络DMA-UNet

Deng Na, 上海工程技术大学电子电气工程学院，上海市 201600 School of Electronic and Electrical Engineering， Shanghai University of Engineering Science，Shanghai 201600，China, Wang Xuan
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Abstract

No abstract available for this paper.
Journal of Image and GraphicsVol. 0(0)
Openalex Percentile: Top 95%
Brain Tumor Detection and Classification
DOIOpen Access PDFOpenAlex
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面向腹腔超声图像出血区域的双域多尺度注意力分析网络DMA-UNet — Deng Na, 上海工程技术大学电子电气工程学院，上海市 201600 School of Electronic and Electrical Engineering， Shanghai University of Engineering Science，Shanghai 201600，China, et al. · Journal of Image and Graphics (2026) | TGRS Research Map | TGRS