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 /: 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. (2018)

• Record Type: Book
• Other Titles: CVII-STENT 2018; LABELS 2018
• Further Information: Note: Danail Stoyanov, Zeike Taylor, Simone Balocco, Raphael Sznitman [and thirteen others] (eds.).
• Editors: Stoyanov, Danail; Taylor, Zeike; Balocco, Simone; Sznitman, Raphael
• Other Names: CVII-STENT (Workshop), 7th; LABELS (Workshop), 3rd; International Conference on Medical Image Computing and Computer-Assisted Intervention, 21st
• 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.
• Publisher Details: Cham, Switzerland : Springer
• Publication Date: 2018
• Extent: 1 online resource (xvii, 202 pages), illustrations
• Subjects: 610.285; Computer science; Medical informatics -- Congresses; Biomedical engineering -- Congresses; Radiography, Medical -- Congresses; Computer vision; Medical records_xData processing; Artificial intelligence; Computer network architectures; Medical -- General; Computers -- Intelligence (AI) & Semantics; Computers -- Hardware -- General; Health & safety aspects of IT; Artificial intelligence; Computer networking & communications; Computers -- Computer Graphics; Image processing; Electronic books
• Languages: English
• ISBNs: 9783030013646; 3030013642
• Related ISBNs: 9783030013639
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed October 24, 2018).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.