Verlag: University of Washington Press, 2013
ISBN 10: 0295993146 ISBN 13: 9780295993140
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: As New. Used book that is in almost brand-new condition.
Verlag: University of Washington Press, 2013
ISBN 10: 0295993146 ISBN 13: 9780295993140
Anbieter: Better World Books, Mishawaka, IN, USA
Zustand: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
Verlag: CreateSpace Independent Publishing Platform, 2018
ISBN 10: 1727605179 ISBN 13: 9781727605174
Anbieter: WorldofBooks, Goring-By-Sea, WS, Vereinigtes Königreich
Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
Verlag: EOC, Italy, 2007
Anbieter: Besleys Books PBFA, Diss, Vereinigtes Königreich
Verbandsmitglied: PBFA
Soft Cover. Zustand: Very Good. No Jacket. Paperback. 147pp, illus. Slightest wear to covers only. An excellent clean copy. (bstop).
Zustand: Ottime. italiano Condizioni dell'esterno: Ottime Condizioni dell'interno: Ottime.
Verlag: Springer International Publishing, Springer International Publishing, 2018
ISBN 10: 3030013634 ISBN 13: 9783030013639
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.