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Titlebook: OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging; Second International Luping Zhou,Duygu Sarikaya,Hong

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發(fā)表于 2025-3-21 19:23:52 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging
副標(biāo)題Second International
編輯Luping Zhou,Duygu Sarikaya,Hongzhi Wang
視頻videohttp://file.papertrans.cn/701/700048/700048.mp4
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: OR 2.0 Context-Aware Operating Theaters and Machine Learning in Clinical Neuroimaging; Second International Luping Zhou,Duygu Sarikaya,Hong
描述.This book constitutes the refereed proceedings of the Second International Workshop on Context-Aware Surgical Theaters, OR 2.0 2019, and the Second International Workshop on Machine Learning in Clinical Neuroimaging, MLCN 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019...For OR 2.0 all 6 submissions were accepted for publication. They aim to highlight the potential use of machine vision and perception, robotics, surgical simulation and modeling, multi-modal data fusion and visualization, image analysis, advanced imaging, advanced display technologies, human-computer interfaces, sensors, wearable and implantable electronics and robots, visual attention models, cognitive models, decision support networks to enhance surgical procedural assistance, context-awareness and team communication in the operating theater, human-robot collaborative systems, and surgical training and assessment...MLCN 2019 accepted 6 papers out of 7 submissions for publication. They focus on addressing the problems of applying machine learning to large and multi-site clinical neuroimaging datasets. The workshop aimed to bring together experts in both machine learning and clinical
出版日期Conference proceedings 2019
關(guān)鍵詞artificial intelligence; computer vision; image analysis; image reconstruction; imaging systems; multi-sp
版次1
doihttps://doi.org/10.1007/978-3-030-32695-1
isbn_softcover978-3-030-32694-4
isbn_ebook978-3-030-32695-1Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer Nature Switzerland AG 2019
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/o/image/700048.jpg
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https://doi.org/10.1007/978-3-030-32695-1artificial intelligence; computer vision; image analysis; image reconstruction; imaging systems; multi-sp
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lus bleibt, wie die Diskussion im Teil 2 gezeigt hat, vielfach unerfüllt. Dieses ist nicht nur auf die allgemeine Komplexit?t der Problemstellung zurückzuführen, sondern liegt nicht zuletzt darin begründet, da? sich mit der st?rkeren Differenzierung der Phasen zwangsl?ufig auch die Notwendigkeit ein
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lus bleibt, wie die Diskussion im Teil 2 gezeigt hat, vielfach unerfüllt. Dieses ist nicht nur auf die allgemeine Komplexit?t der Problemstellung zurückzuführen, sondern liegt nicht zuletzt darin begründet, da? sich mit der st?rkeren Differenzierung der Phasen zwangsl?ufig auch die Notwendigkeit ein
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V. Vishal,Neeraj Sharma,Munendra Singh genes as well as the complete genome for manymicro-organisms. Subsequently it is hoped, by means of powerfulbioinformatic tools, to determine the gene variants that contribute tovarious multifactorial diseases and genes that exist in certaininfectious agents but not humans. As a consequence, this w
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