ARU-Net网络与U-Net一样呈对称结构,无全连接层,输入的图像大小可不相同,但输出的结果与输入的图像大小一致,对于每一个像素点进行分类,从而实现图像的分割。该网络添加残差映射和注意力机制,可以提高了特征的使用率,进而提升钩骨分割的准确率。该网络添加残差映射和注意力机制,可以提高了特征的使用率,进而钩骨分割的...
方法/过程根据胸部CT图像的积液特征,提出一种基于残差注意力机制的胸腔积液分割模型ARU-Net.以U-Net模型为主干网络,在编码和解码阶段引入残差注意力单元,有效获取图像上下文信息,提高对特征的利用率.结果/结论在测试集上的DICE相似系数达到88.76%,与U-Net和ResU-Net相比在分割完整性和准确性方面具有显著优势,能够满足...
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ARU<inline-formula><tex-math notation="LaTeX">$^{2}$</tex-math></inline-formula>-Net: A Deep Learning Approach for Global-Scale Oceanic Eddy Detection 来自 IEEEXplore 喜欢 0 阅读量: 5 作者:J Geng,H Gao,B Huang,M Radenkovic,G Chen ...
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@guguji_netaru(宮々寺 ねたる) アルファチャンネル付き動画をvideoタグで読み込む ffmpeg AfterEffects Last updated at 2022-10-24Posted at 2022-10-23 概要 アルファチャンネル付き動画を、videoタグで読み込みたい。 iOSはH.265(mp4)、それ以外はVP9(webm)であれば、アルファチャンネル...
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