Description |
1 online resource (xvii, 202 pages) : illustrations |
Series |
Lecture notes in computer science ; 11043 |
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics |
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Lecture notes in computer science ; 11043.
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LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
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Contents |
Blood-flow estimation in the hepatic arteries based on 3D/2D angiography registration -- Automated quantification of blood flow velocity from time-resolved CT angiography -- Multiple device segmentation for fluoroscopic imaging using multi-task learning -- Segmentation of the Aorta Using Active Contours with Histogram-Based Descriptors -- Layer Separation in X-ray Angiograms for Vessel Enhancement with Fully Convolutional Network -- Generation of a HER2 breast cancer gold-standard using supervised learning from multiple experts -- Deep Learning-based Detection and Segmentation for BVS Struts in IVOCT Images -- Towards Automatic Measurement of Type B Aortic Dissection Parameters -- Prediction of FFR from IVUS Images using Machine Learning -- Deep Learning Retinal Vessel Segmentation From a Single Annotated Example: An Application of Cyclic Generative Adversarial Neural Networks -- An Efficient and Comprehensive Labeling Tool for Large-scale Annotation of Fundus Images -- Crowd disagreement about medical images is informative -- Imperfect Segmentation Labels: How Much Do They Matter? -- Crowdsourcing annotation of surgical instruments in videos of cataract surgery -- Four-dimensional ASL MR angiography phantoms with noise learned by neural styling -- Feature learning based on visual similarity triplets in medical image analysis: A case study of emphysema in chest CT scans -- Capsule Networks against Medical Imaging Data Challenges -- Fully Automatic Segmentation of Coronary Arteries based on Deep Neural Network in Intravascular Ultrasound Images -- Weakly-Supervised Learning for Tool Localization in Laparoscopic Videos -- Radiology Objects in COntext (ROCO) -- Improving out-of-sample prediction of quality of MRIQC |
Summary |
This book constitutes the refereed joint proceedings of the 7th Joint International Workshop on Computing and Visualization for Intravascular Imaging and Computer Assisted Stenting, CVII-STENT 2018, and the Third International Workshop on Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, LABELS 2018, held in conjunction with the 21th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2018, in Granada, Spain, in September 2018. The 9 full papers presented at CVII-STENT 2017 and the 12 full papers presented at LABELS 2017 were carefully reviewed and selected. The CVII-STENT papers feature the state of the art in imaging, treatment, and computer-assisted intervention in the field of endovascular interventions. The LABELS papers present a variety of approaches for dealing with few labels, from transfer learning to crowdsourcing |
Notes |
International conference proceedings |
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Online resource; title from PDF title page (SpringerLink, viewed October 24, 2018) |
Subject |
Medical informatics -- Congresses
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Biomedical engineering -- Congresses
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Radiography, Medical -- Congresses
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Health & safety aspects of IT.
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Artificial intelligence.
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Computer networking & communications.
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Image processing.
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Medical -- General.
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Computers -- Intelligence (AI) & Semantics.
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Computers -- Hardware -- General.
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Computers -- Computer Graphics.
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Biomedical engineering
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Medical informatics
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Radiography, Medical
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Genre/Form |
proceedings (reports)
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Conference papers and proceedings
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Conference papers and proceedings.
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Actes de congrès.
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Form |
Electronic book
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Author |
Stoyanov, Danail, editor.
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Taylor, Zeike, editor
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Balocco, Simone, editor.
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Sznitman, Raphael, editor
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LABELS (Workshop) (3rd : 2018 : Granada, Spain), jointly held conference.
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International Conference on Medical Image Computing and Computer-Assisted Intervention (21st : 2018 : Granada, Spain), jointly held conference.
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ISBN |
9783030013646 |
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3030013642 |
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3030013634 |
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9783030013639 |
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9783030013653 |
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3030013650 |
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