Medical Image Understanding and Analysis [electronic resource] : 25th Annual Conference, MIUA 2021, Oxford, United Kingdom, July 12-14, 2021, Proceedings / edited by Bartłomiej W. Papież, Mohammad Yaqub, Jianbo Jiao, Ana I. L. Namburete, J. Alison Noble.
Contributor(s): Papież, Bartłomiej W [editor.] | Yaqub, Mohammad [editor.] | Jiao, Jianbo [editor.] | Namburete, Ana I. L [editor.] | Noble, J. Alison [editor.] | SpringerLink (Online service).
Material type: BookSeries: Image Processing, Computer Vision, Pattern Recognition, and Graphics: 12722Publisher: Cham : Springer International Publishing : Imprint: Springer, 2021Edition: 1st ed. 2021.Description: XV, 561 p. 238 illus., 207 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030804329.Subject(s): Computer vision | Machine learning | Social sciences -- Data processing | Education -- Data processing | Bioinformatics | Pattern recognition systems | Computer Vision | Machine Learning | Computer Application in Social and Behavioral Sciences | Computers and Education | Computational and Systems Biology | Automated Pattern RecognitionAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 006.37 Online resources: Click here to access onlineBiomarker 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.
This book constitutes the refereed proceedings of the 25th Conference on Medical Image Understanding and Analysis, MIUA 2021, held in July 2021. Due to COVID-19 pandemic the conference was held virtually. The 32 full papers and 8 short papers presented were carefully reviewed and selected from 77 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.
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