Deconvolution
Wave Parameters
Uniform Depth Channel Flow
Reducing Line Loss
Uniform Depth Channel Flow: Problem Solving
Convolution: Math, Graphics, and Discrete Signals
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Swin-PSAxialNet: An Efficient Multi-Organ Segmentation Technique
Published on: July 5, 2024
Guifang Zhang1, Dingyue Liu1, Zhe Ji2
1School of Computing and Artificial Intelligence, Jiangxi University of Finance and Economics, Nanchang, China; Jiangxi Province Key Laboratory of Multimedia Intelligent Processing, Nanchang, China.
本研究介绍了WT-CMUNeXt,这是一种轻量级的人工智能模型,用于在X射线图像中对单个和双导线进行细分. 它以最小的参数实现高精度,解决医疗成像中的数据稀缺性和复杂性挑战.
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