Harrison
发表于 2025-3-21 17:50:13
书目名称Image Analysis and Recognition影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0461395<br><br> <br><br>书目名称Image Analysis and Recognition影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0461395<br><br> <br><br>书目名称Image Analysis and Recognition网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0461395<br><br> <br><br>书目名称Image Analysis and Recognition网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0461395<br><br> <br><br>书目名称Image Analysis and Recognition被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0461395<br><br> <br><br>书目名称Image Analysis and Recognition被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0461395<br><br> <br><br>书目名称Image Analysis and Recognition年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0461395<br><br> <br><br>书目名称Image Analysis and Recognition年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0461395<br><br> <br><br>书目名称Image Analysis and Recognition读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0461395<br><br> <br><br>书目名称Image Analysis and Recognition读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0461395<br><br> <br><br>
upstart
发表于 2025-3-21 23:06:27
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Brain-Waves
发表于 2025-3-22 00:56:13
Label Fusion for Multi-atlas Segmentation Based on Majority Votingver-segmentation problem of the majority fusion. The approach is successfully applied to the segmentation of hippocampus, and the experimental results demonstrate significant improvement over three state-of-the-art approaches in the literature.
BADGE
发表于 2025-3-22 08:33:14
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冰河期
发表于 2025-3-22 10:23:45
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轻打
发表于 2025-3-22 15:53:26
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防止
发表于 2025-3-22 19:07:03
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圆木可阻碍
发表于 2025-3-22 21:56:57
An Optimized Selective Encryption for Video Confidentialityof simulation on different video sequences indicate that the derived set of QC’s can reduce ECO cost by up to 78 % without affecting the video confidentiality when compared to state-of-the-art approaches.
membrane
发表于 2025-3-23 02:30:38
Attributed Relational Graph-Based Learning of Object Models for Object Segmentationontains an instance of the OOI, is given. Afterwards, each image is over-segmented into a set of visually homogeneous regions and the corresponding ARG is constructed. Given such graph representations, OOI model learning reduces to a subgraph matching problem.
职业
发表于 2025-3-23 07:34:01
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