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Titlebook: Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures; 4th International Wo M. Jorge Cardoso,Tal Arbel,Raj Shekhar Co

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書目名稱Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures
副標題4th International Wo
編輯M. Jorge Cardoso,Tal Arbel,Raj Shekhar
視頻videohttp://file.papertrans.cn/234/233516/233516.mp4
概述Includes supplementary material:
叢書名稱Lecture Notes in Computer Science
圖書封面Titlebook: Computer Assisted and Robotic Endoscopy and Clinical Image-Based Procedures; 4th International Wo M. Jorge Cardoso,Tal Arbel,Raj Shekhar Co
描述This book constitutes the refereed joint proceedings of the 4th International Workshop on Computer Assisted and Robotic Endoscopy, CARE 2017, and the 6th International Workshop on Clinical Image-Based Procedures: Translational Research in Medical Imaging, CLIP 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017...The 7 full papers presented at CARE 2017 and the 10 full papers presented at CLIP 2017 were carefully reviewed and selected. The papers deal with interventional and diagnostic endoscopy integrating the latest advances in computer vision, robotics, medical imaging and information processing and the development and evaluation of new translational image-based techniques in the modern hospital...?.
出版日期Conference proceedings 2017
關鍵詞3d reconstruction; artificial intelligence; classification; classifiers; computer vision; computerized to
版次1
doihttps://doi.org/10.1007/978-3-319-67543-5
isbn_softcover978-3-319-67542-8
isbn_ebook978-3-319-67543-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer International Publishing AG 2017
The information of publication is updating

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Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233516.jpg
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Vieweg Programmbibliothek Taschenrechnered, rigid appearance templates. The templates, which are equipped with pose-related keypoints and segmentation masks, allow for explicit pose estimation and segmentation of multiple end-effectors as well as fine-grained non-maximum suppression. We train the templates by grouping examples of end-effe
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https://doi.org/10.1007/978-94-009-7980-2ct to the colon surface is important as it would help localization of cancerous polyps for subsequent surgery and facilitate navigation. Knowing camera pose is also essential for 3D automatic scene reconstruction, which could support clinicians inspecting the whole colon surface thereby reducing mis
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