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

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書目名稱Machine Learning in Medical Imaging影響因子(影響力)




書目名稱Machine Learning in Medical Imaging影響因子(影響力)學(xué)科排名




書目名稱Machine Learning in Medical Imaging網(wǎng)絡(luò)公開度




書目名稱Machine Learning in Medical Imaging網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Machine Learning in Medical Imaging被引頻次




書目名稱Machine Learning in Medical Imaging被引頻次學(xué)科排名




書目名稱Machine Learning in Medical Imaging年度引用




書目名稱Machine Learning in Medical Imaging年度引用學(xué)科排名




書目名稱Machine Learning in Medical Imaging讀者反饋




書目名稱Machine Learning in Medical Imaging讀者反饋學(xué)科排名

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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

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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.

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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..

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0302-9743 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..978-3-319-47156-3978-3-319-47157-0Series ISSN 0302-9743 Series E-ISSN 1611-3349

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