Medical Image Understanding and Analysis

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117,69 

26th Annual Conference, MIUA 2022, Cambridge, UK, July 27-29,2022, Proceedings, Lecture Notes in Computer Science 13413

ISBN: 3031120523
ISBN 13: 9783031120527
Herausgeber: Guang Yang/Angelica Aviles-Rivero/Michael Roberts et al
Verlag: Springer Verlag GmbH
Umfang: xvii, 911 S., 138 s/w Illustr., 309 farbige Illustr., 911 p. 447 illus., 309 illus. in color.
Erscheinungsdatum: 26.07.2022
Auflage: 1/2022
Produktform: Kartoniert
Einband: Kartoniert

Chapter „FCN-Transformer Feature Fusion for Polyp Segmentation“ is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Artikelnummer: 6157494 Kategorie:

Beschreibung

This book constitutes the refereed proceedings of the 26th Conference on Medical Image Understanding and Analysis, MIUA 2022, held in Cambridge, UK, in July 2022. The 65 full papers presented were carefully reviewed and selected from 95 submissions. They were organized according to following topical sections: biomarker detection; image registration, and reconstruction; image segmentation; generative models, biomedical simulation and modelling; classification; image enhancement, quality assessment, and data privacy; radiomics, predictive models, and quantitative imaging. Chapter FCNTransformer Feature Fusion for Polyp Segmentation is available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

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E-Mail: juergen.hartmann@springer.com

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