分类
发表于 2025-3-21 19:52:55
书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2019影响因子(影响力)<br> http://figure.impactfactor.cn/if/?ISSN=BK0629190<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2019影响因子(影响力)学科排名<br> http://figure.impactfactor.cn/ifr/?ISSN=BK0629190<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2019网络公开度<br> http://figure.impactfactor.cn/at/?ISSN=BK0629190<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2019网络公开度学科排名<br> http://figure.impactfactor.cn/atr/?ISSN=BK0629190<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2019被引频次<br> http://figure.impactfactor.cn/tc/?ISSN=BK0629190<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2019被引频次学科排名<br> http://figure.impactfactor.cn/tcr/?ISSN=BK0629190<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2019年度引用<br> http://figure.impactfactor.cn/ii/?ISSN=BK0629190<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2019年度引用学科排名<br> http://figure.impactfactor.cn/iir/?ISSN=BK0629190<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2019读者反馈<br> http://figure.impactfactor.cn/5y/?ISSN=BK0629190<br><br> <br><br>书目名称Medical Image Computing and Computer Assisted Intervention – MICCAI 2019读者反馈学科排名<br> http://figure.impactfactor.cn/5yr/?ISSN=BK0629190<br><br> <br><br>
透明
发表于 2025-3-21 23:02:11
978-3-030-32238-0Springer Nature Switzerland AG 2019
Etymology
发表于 2025-3-22 02:09:54
http://reply.papertrans.cn/63/6292/629190/629190_3.png
枯燥
发表于 2025-3-22 06:18:33
https://doi.org/10.1007/978-3-030-32239-7artificial intelligence; computed tomography; computer aided diagnosis; computer assisted interventions
V洗浴
发表于 2025-3-22 09:26:23
Unsupervised Ensemble Strategy for Retinal Vessel Segmentationentation quality without knowing the ground truth. We then optimize the weight of individual result to maximize this segmentation quality score to enhance the final result. Through extensive experiments, our method has shown superior performance over the state-of-the-art on the DRIVE, STARE, CHASE_DB1 datasets.
accessory
发表于 2025-3-22 14:42:55
Conference proceedings 2019ical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019...The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topical sectio
猛然一拉
发表于 2025-3-22 19:45:56
0302-9743 nce on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, held in Shenzhen, China, in October 2019...The 539 revised full papers presented were carefully reviewed and selected from 1730 submissions in a double-blind review process. The papers are organized in the following topi
definition
发表于 2025-3-23 00:43:25
Enhancing OCT Signal by Fusion of GANs: Improving Statistical Power of Glaucoma Clinical Trials(MAS) in a principled way. Experiments on the UK Glaucoma Treatment Study (UKGTS) show that the model successfully combines the strengths of both techniques (improved image quality of SR and effective label propagation of MAS), and produces a significantly better separation between treatment arms than conventional segmentation of TDOCT.
Precursor
发表于 2025-3-23 01:48:49
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玛瑙
发表于 2025-3-23 08:42:16
Dual Encoding U-Net for Retinal Vessel Segmentationined in multiscale prediction module for a better accuracy. We evaluated this model on the digital retinal images for vessel extraction (DRIVE) dataset and the child heart and health study (CHASEDB1) dataset. Results show that the proposed DEU-Net model achieved the state-of-the-art retinal vessel segmentation accuracy on both datasets.