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
- Responsibility
- Danail Stoyanov, Zeike Taylor, Simone Balocco, Raphael Sznitman et al. (eds.).
- Digital
- text file; PDF
- Publication
- Cham, Switzerland : Springer, 2018.
- Physical description
- 1 online resource (xvii, 202 pages) : illustrations.
- Series
- Lecture notes in computer science ; 11043.
- LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics.
Online
Available online
More options
Description
Creators/Contributors
- Meeting
- CVII-STENT (Workshop) (7th : 2018 : Granada, Spain)
- Contributor
- Stoyanov, Danail, editor.
- Taylor, Zeike, editor.
- Balocco, Simone, editor.
- Sznitman, Raphael, editor.
- LABELS (Workshop) (3rd : 2018 : Granada, Spain), jointly held conference.
- International Conference on Medical Image Computing and Computer-Assisted Intervention (21st : 2018 : Granada, Spain), jointly held conference.
Contents/Summary
- 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.
- (source: Nielsen Book Data)
- Publisher's 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.
(source: Nielsen Book Data)
Subjects
- Subjects
- Medical informatics > Congresses.
- Biomedical engineering > Congresses.
- Radiography, Medical > Congresses.
- Image Processing and Computer Vision.
- Health Informatics.
- Artificial Intelligence.
- Computer Systems Organization and Communication Networks.
- Health & safety aspects of IT.
- Artificial intelligence.
- Computer networking & communications.
- Image processing.
- Medical > General.
- Computers > Intelligence (AI) & Semantics.
- Computers > Hardware > General.
- Computers > Computer Graphics.
- Biomedical engineering.
- Medical informatics.
- Radiography, Medical.
Bibliographic information
- Publication date
- 2018
- Title variation
- CVII-STENT 2018
- LABELS 2018
- Series
- Lecture notes in computer science ; 11043
- LNCS sublibrary. SL 6, Image processing, computer vision, pattern recognition, and graphics
- Note
- International conference proceedings.
- ISBN
- 9783030013646 (electronic bk.)
- 3030013642 (electronic bk.)
- 9783030013639 (print)
- 3030013634
- 9783030013639
- 9783030013653 (print)
- 3030013650
- DOI
- 10.1007/978-3-030-01364-6
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