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Stoyanov, Danail [HerausgeberIn]; Taylor, Zeike [HerausgeberIn]; Balocco, Simone [HerausgeberIn]; Sznitman, Raphael [HerausgeberIn]; Martel, Anne [HerausgeberIn]; Maier-Hein, Lena [HerausgeberIn]; Duong, Luc [HerausgeberIn]; Zahnd, Guillaume [HerausgeberIn]; Demirci, Stefanie [HerausgeberIn]; Albarqouni, Shadi [HerausgeberIn]; Lee, Su-Lin [HerausgeberIn]; Moriconi, Stefano [HerausgeberIn]; Cheplygina, Veronika [HerausgeberIn]; Mateus, Diana [HerausgeberIn]; Trucco, Emanuele [HerausgeberIn]; Granger, Eric [HerausgeberIn]; Jannin, Pierre [HerausgeberIn]

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

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  • Medientyp: E-Book
  • Titel: 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
  • Beteiligte: Stoyanov, Danail [HerausgeberIn]; Taylor, Zeike [HerausgeberIn]; Balocco, Simone [HerausgeberIn]; Sznitman, Raphael [HerausgeberIn]; Martel, Anne [HerausgeberIn]; Maier-Hein, Lena [HerausgeberIn]; Duong, Luc [HerausgeberIn]; Zahnd, Guillaume [HerausgeberIn]; Demirci, Stefanie [HerausgeberIn]; Albarqouni, Shadi [HerausgeberIn]; Lee, Su-Lin [HerausgeberIn]; Moriconi, Stefano [HerausgeberIn]; Cheplygina, Veronika [HerausgeberIn]; Mateus, Diana [HerausgeberIn]; Trucco, Emanuele [HerausgeberIn]; Granger, Eric [HerausgeberIn]; Jannin, Pierre [HerausgeberIn]
  • Erschienen: Cham: Springer International Publishing, 2018
  • Erschienen in: Image Processing, Computer Vision, Pattern Recognition, and Graphics ; 11043
    SpringerLink ; Bücher
  • Umfang: Online-Ressource (XVII, 202 p. 76 illus, online resource)
  • Sprache: Englisch
  • DOI: 10.1007/978-3-030-01364-6
  • ISBN: 9783030013646
  • Identifikator:
  • Schlagwörter: Medical records Data processing ; Computer network architectures ; Image Processing and Computer Vision ; Computer vision ; Artificial intelligence ; Health informatics. ; Optical data processing. ; Computer organization. ; Medical informatics. ; Computer engineering. ; Computer networks .
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: 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

    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