Zobacz książki o podobnej tematyce

Więcej informacji o Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis

• Dane szczegółowe
• Opis
• Ulubione w innej kategorii

Za ten zakup dostaniesz 175 punkty

Opis

This book constitutes the refereed proceedings of the Second International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2020, and the Third International Workshop on Graphs in Biomedical Image Analysis, GRAIL 2020, held in conjunction with MICCAI 2020, in Lima, Peru, in October 2020. The workshops were held virtually due to the COVID-19 pandemic.For UNSURE 2020, 10 papers from 18 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world.GRAIL 2020 accepted 10 papers from the 12 submissions received. The workshop aims to bring together scientists that use and develop graph-based models for the analysis of biomedical images and to encourage the exploration of graph-based models for difficult clinical problems within a variety of biomedical imaging contexts.

Szczegóły książki

Kategoria Książki po niemiecku Naturwissenschaften, Medizin, Informatik, Technik Informatik, EDV Informatik

• Pełny tytuł: Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis
• Autor: Bartlomiej Papiez, Enzo Ferrante, Ryutaro Tanno, Hamid Fehri, Tal Arbel, Christian F. Baumgartner, Adrian Dalca, Sarah Parisot, Koen van Leemput, William M. Wells, Aisteidis Sotiras
• Język: Angielski
• Oprawa: Miękka
• Liczba stron: 222
• EAN: 9783030603649
• ISBN: 3030603644
• ID: 33269725
• Wydawca: Springer Nature Switzerland AG
• Waga: 454 g
• Wymiary: 235 × 155 × 14 mm
• Data wydania: 06. October 2020

---

---

---