Ali, S orcid.org/0000-0003-1313-3542, Sommen, FVD, Papież, BW et al. (3 more authors) (2022) Cancer Prevention Through Early Detection: First International Workshop, CaPTion 2022, Held in Conjunction with MICCAI 2022, Singapore, September 22, 2022, Proceedings. Lecture Notes in Computer Science . Springer ISBN 978-3-031-17978-5
Abstract
This book constitutes the refereed proceedings of the first International Workshop on Cancer Prevention through Early Detection, CaPTion, held in conjunction with the 25th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2022, in Singapore, Singapore, in September 2022.
The 16 papers presented at CaPTion 2022 were carefully reviewed and selected from 21 submissions. The workshop invites researchers to submit their work in the field of medical imaging around the central theme of early cancer detection, and it strives to address the challenges that are required to be overcomed to translate computational methods to clinical practice through well designed, generalizable (robust), interpretable and clinically transferable methods.
Metadata
Item Type: | Book |
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Authors/Creators: |
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Editors: |
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Keywords: | artificial intelligence, bioinformatics, classification methods, computer systems, computer vision, deep learning, image analysis, image processing, image reconstruction, image segmentation, imaging systems, learning, machine learning, medical images, neural networks, pattern recognition, signal processing |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 13 Oct 2022 14:10 |
Last Modified: | 18 Mar 2024 14:18 |
Published Version: | https://doi.org/10.1007/978-3-031-17979-2 |
Status: | Published |
Publisher: | Springer |
Series Name: | Lecture Notes in Computer Science |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:191890 |