deduce 发表于 2025-3-21 18:03:21

书目名称Machine Learning in Medical Imaging影响因子(影响力)<br>        http://figure.impactfactor.cn/if/?ISSN=BK0620683<br><br>        <br><br>书目名称Machine Learning in Medical Imaging影响因子(影响力)学科排名<br>        http://figure.impactfactor.cn/ifr/?ISSN=BK0620683<br><br>        <br><br>书目名称Machine Learning in Medical Imaging网络公开度<br>        http://figure.impactfactor.cn/at/?ISSN=BK0620683<br><br>        <br><br>书目名称Machine Learning in Medical Imaging网络公开度学科排名<br>        http://figure.impactfactor.cn/atr/?ISSN=BK0620683<br><br>        <br><br>书目名称Machine Learning in Medical Imaging被引频次<br>        http://figure.impactfactor.cn/tc/?ISSN=BK0620683<br><br>        <br><br>书目名称Machine Learning in Medical Imaging被引频次学科排名<br>        http://figure.impactfactor.cn/tcr/?ISSN=BK0620683<br><br>        <br><br>书目名称Machine Learning in Medical Imaging年度引用<br>        http://figure.impactfactor.cn/ii/?ISSN=BK0620683<br><br>        <br><br>书目名称Machine Learning in Medical Imaging年度引用学科排名<br>        http://figure.impactfactor.cn/iir/?ISSN=BK0620683<br><br>        <br><br>书目名称Machine Learning in Medical Imaging读者反馈<br>        http://figure.impactfactor.cn/5y/?ISSN=BK0620683<br><br>        <br><br>书目名称Machine Learning in Medical Imaging读者反馈学科排名<br>        http://figure.impactfactor.cn/5yr/?ISSN=BK0620683<br><br>        <br><br>

有权威 发表于 2025-3-21 21:28:46

0302-9743 dical Imaging, MLMI 2016, held in conjunction with MICCAI 2016, in Athens, Greece, in October 2016. ..The 38 full papers presented in this volume were carefully reviewed and selected from 60 submissions. ..The main aim of this workshop is to help advance scientific research within the broad field of

Arb853 发表于 2025-3-22 02:29:31

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打包 发表于 2025-3-22 06:07:26

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BIAS 发表于 2025-3-22 11:00:11

Cross-Modality Anatomical Landmark Detection Using Histograms of Unsigned Gradient Orientations andof CT, MRI T1 and MRI T2 scans of the head. Each cohort is made up of 40 training and 20 test scans, making 180 scans in total. A cross-modality mean landmark error of 5.27 mm is achieved, compared to single-modality error of 4.07 mm.

beta-carotene 发表于 2025-3-22 14:25:34

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放牧 发表于 2025-3-22 19:06:25

Conference proceedings 2016bmissions. ..The main aim of this workshop is to help advance scientific research within the broad field of machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging..

mettlesome 发表于 2025-3-22 23:22:57

0302-9743machine learning in medical imaging. The workshop focuses on major trends and challenges in this area, and presents works aimed to identify new cutting-edge techniques and their use in medical imaging..978-3-319-47156-3978-3-319-47157-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

摊位 发表于 2025-3-23 01:41:54

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反馈 发表于 2025-3-23 05:32:14

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查看完整版本: Titlebook: Machine Learning in Medical Imaging; 7th International Wo Li Wang,Ehsan Adeli,Heung-Il Suk Conference proceedings 2016 Springer Internation