投降
发表于 2025-3-21 16:37:28
书目名称Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0629274<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0629274<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0629274<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0629274<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0629274<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0629274<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0629274<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0629274<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0629274<br><br> <br><br>书目名称Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0629274<br><br> <br><br>
窝转脊椎动物
发表于 2025-3-21 20:32:32
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Abutment
发表于 2025-3-22 01:19:10
Medical Image Computing and Computer-Assisted Intervention − MICCAI 2017978-3-319-66185-8Series ISSN 0302-9743 Series E-ISSN 1611-3349
牢骚
发表于 2025-3-22 07:03:06
Maxime Descoteaux,Lena Maier-Hein,Simon DuchesneIncludes supplementary material:
NORM
发表于 2025-3-22 11:14:57
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空气传播
发表于 2025-3-22 16:34:52
Two-Stream Bidirectional Long Short-Term Memory for Mitosis Event Detection and Stage Localization iormation from candidate sequences. The proposed method outperforms state-of-the-arts by achieving 98.4% precision and 97.0% recall for mitosis detection and 0.62 frame error on average for mitosis stage localization in five challenging image sequences.
Fracture
发表于 2025-3-22 19:14:58
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首创精神
发表于 2025-3-22 21:29:52
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Fraudulent
发表于 2025-3-23 03:45:48
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和平主义者
发表于 2025-3-23 08:36:06
Separation of Transmitted Light and Scattering Components in Transmitted MicroscopyOur method makes a novel spatial multiple-spectral absorption analysis possible, which requires absorption coefficients to be measured in each spectrum at each position. Experiments on real biological tissues demonstrated the effectiveness of our method.