Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis | MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27-October 1, 2021, Proceedings

Marc Aubreville (u. a.)

ISBN 10: 3030972801 / ISBN 13: 9783030972806

Published by Springer, 2022

About this Item

Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis | MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27-October 1, 2021, Proceedings | Marc Aubreville (u. a.) | Taschenbuch | Lecture Notes in Computer Science | ix | Englisch | 2022 | Springer | EAN 9783030972806 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Seller Inventory # 121151675

Bibliographic Details

• Title: Biomedical Image Registration, Domain Generalisation and Out-of-Distribution Analysis | MICCAI 2021 Challenges: MIDOG 2021, MOOD 2021, and Learn2Reg 2021, Held in Conjunction with MICCAI 2021, Strasbourg, France, September 27-October 1, 2021, Proceedings
• Publisher: Springer
• Publication Date: 2022
• Language: English
• ISBN 10: 3030972801
• ISBN 13: 9783030972806
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 12D millimeters 235 millimeters width by 155 millimeters height by 12 millimeters depth
• Weight: 318 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

This book constitutes three challenges that were held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, which was planned to take place in Strasbourg, France but changed to an online event due to the COVID-19 pandemic.

The peer-reviewed 18 long and 9 short papers included in this volume stem from the following three biomedical image analysis challenges:

•          Mitosis Domain Generalization Challenge (MIDOG 2021),
•          Medical Out-of-Distribution Analysis Challenge (MOOD 2021), and
•          Learn2Reg (L2R 2021).

The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications.