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发表于 2025-3-21 18:11:47
书目名称Uncertainty for Safe Utilization of Machine Learning in Medical Imaging影响因子(影响力)<br> http://impactfactor.cn/if/?ISSN=BK0941132<br><br> <br><br>书目名称Uncertainty for Safe Utilization of Machine Learning in Medical Imaging影响因子(影响力)学科排名<br> http://impactfactor.cn/ifr/?ISSN=BK0941132<br><br> <br><br>书目名称Uncertainty for Safe Utilization of Machine Learning in Medical Imaging网络公开度<br> http://impactfactor.cn/at/?ISSN=BK0941132<br><br> <br><br>书目名称Uncertainty for Safe Utilization of Machine Learning in Medical Imaging网络公开度学科排名<br> http://impactfactor.cn/atr/?ISSN=BK0941132<br><br> <br><br>书目名称Uncertainty for Safe Utilization of Machine Learning in Medical Imaging被引频次<br> http://impactfactor.cn/tc/?ISSN=BK0941132<br><br> <br><br>书目名称Uncertainty for Safe Utilization of Machine Learning in Medical Imaging被引频次学科排名<br> http://impactfactor.cn/tcr/?ISSN=BK0941132<br><br> <br><br>书目名称Uncertainty for Safe Utilization of Machine Learning in Medical Imaging年度引用<br> http://impactfactor.cn/ii/?ISSN=BK0941132<br><br> <br><br>书目名称Uncertainty for Safe Utilization of Machine Learning in Medical Imaging年度引用学科排名<br> http://impactfactor.cn/iir/?ISSN=BK0941132<br><br> <br><br>书目名称Uncertainty for Safe Utilization of Machine Learning in Medical Imaging读者反馈<br> http://impactfactor.cn/5y/?ISSN=BK0941132<br><br> <br><br>书目名称Uncertainty for Safe Utilization of Machine Learning in Medical Imaging读者反馈学科排名<br> http://impactfactor.cn/5yr/?ISSN=BK0941132<br><br> <br><br>
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发表于 2025-3-21 22:58:45
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发表于 2025-3-22 02:40:42
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发表于 2025-3-22 05:34:40
https://doi.org/10.1007/978-3-031-16749-2artificial intelligence; bayesian; bayesian networks; bioinformatics; computer vision; deep learning; imag
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发表于 2025-3-22 09:56:51
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色情
发表于 2025-3-22 13:26:14
Luke Whitbread,Mark JenkinsonThis book is a collection of Ed Freeman’s most influential and important works on stakeholder theory as well as business ethics, humanities, and capitalism..978-3-031-04566-0978-3-031-04564-6Series ISSN 0925-6733 Series E-ISSN 2215-1680
Factual
发表于 2025-3-22 20:31:32
Matthew Baugh,Jeremy Tan,Athanasios Vlontzos,Johanna P. Müller,Bernhard Kainzroximate model is established as an efficient method for RCS estimation of phased arrays. This book presents a detailed formulation of approximate method to determine RCS of phased arrays, which is explained us978-981-287-753-6978-981-287-754-3Series ISSN 2191-8112 Series E-ISSN 2191-8120
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发表于 2025-3-22 22:36:45
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发表于 2025-3-23 04:08:48
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发表于 2025-3-23 06:11:38
Uncertainty Categories in Medical Image Segmentation: A Study of Source-Related Diversitythat should be captured whenever uncertainties are used. We take the well characterised BraTS challenge dataset to demonstrate that there are substantial differences in both magnitude and spatial pattern of uncertainties from the different categories, and discuss the implications of these in various