Overview
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 13597)
Included in the following conference series:
- DRAC: MICCAI Challenge on Diabetic Retinopathy Analysis
- MIDOG: MICCAI Challenge on Mitosis Domain Generalization
Conference proceedings info: DRAC 2022, MIDOG 2022.
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About this book
This book constitutes two challenges that were held in conjunction with the 25th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2022, which took place in Singapore during September 18-22, 2022.
The peer-reviewed 20 long and 5 short papers included in this volume stem from the following three biomedical image analysis challenges:
- Mitosis Domain Generalization Challenge (MIDOG 2022),
- Diabetic Retinopathy Analysis Challenge (CRAC 2022)
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.
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Table of contents (25 papers)
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Front Matter
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DRAC
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Front Matter
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Other volumes
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Mitosis Domain Generalization and Diabetic Retinopathy Analysis
Editors and Affiliations
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Bibliographic Information
Book Title: Mitosis Domain Generalization and Diabetic Retinopathy Analysis
Book Subtitle: MICCAI Challenges MIDOG 2022 and DRAC 2022, Held in Conjunction with MICCAI 2022, Singapore, September 18–22, 2022, Proceedings
Editors: Bin Sheng, Marc Aubreville
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-031-33658-4
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0), Springer Nature Proceedings Computer Science
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-33657-7Published: 30 May 2023
eBook ISBN: 978-3-031-33658-4Published: 29 May 2023
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: IX, 242
Number of Illustrations: 25 b/w illustrations, 60 illustrations in colour
Topics: Computer Imaging, Vision, Pattern Recognition and Graphics, Computing Milieux, Computer Applications, Machine Learning
