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" Intravascular imaging and computer assisted stenting and Large-scale annotation of biomedical data and expert label synthesis : "
Danail Stoyanov, Zeike Taylor, Simone Balocco, Raphael Sznitman et al. (eds.).
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BL
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| Record Number
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859459
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| Main Entry
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CVII-STENT (Workshop)(7th :2018 :, Granada, Spain)
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| Title & Author
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Intravascular imaging and computer assisted stenting and Large-scale annotation of biomedical data and expert label synthesis : : 7th Joint International Workshop, CVII-STENT 2018 and third International Workshop, LABELS 2018, held in conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Proceedings /\ Danail Stoyanov, Zeike Taylor, Simone Balocco, Raphael Sznitman et al. (eds.).
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| Publication Statement
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Cham, Switzerland :: Springer,, 2018.
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| Series Statement
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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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1 online resource (xvii, 202 pages) :: illustrations.
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| ISBN
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3030013634
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: 3030013642
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: 3030013650
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: 9783030013639
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: 9783030013646
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: 9783030013653
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9783030013639
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| Notes
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International conference proceedings.
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| Contents
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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.
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| Abstract
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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.
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Biomedical engineering, Congresses.
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Medical informatics, Congresses.
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Radiography, Medical, Congresses.
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Artificial intelligence.
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Biomedical engineering.
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Computer networking communications.
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Computers-- Computer Graphics.
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Computers-- Hardware-- General.
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Computers-- Intelligence (AI) Semantics.
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Health safety aspects of IT.
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Image processing.
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Medical informatics.
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Medical-- General.
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Radiography, Medical.
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Image Processing and Computer Vision.
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Artificial Intelligence.
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Computer Systems Organization and Communication Networks.
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Health Informatics.
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| Dewey Classification
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610.285
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| LC Classification
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R858.A2
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| Added Entry
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Balocco, Simone
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Stoyanov, Danail
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Sznitman, Raphael
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Taylor, Zeike
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International Conference on Medical Image Computing and Computer-Assisted Intervention(21st :2018 :, Granada, Spain)
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LABELS (Workshop)(3rd :2018 :, Granada, Spain)
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| Parallel Title
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CVII-STENT 2018
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: LABELS 2018
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