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Color Medical Image Analysis

Since the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imagi...

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Detalles Bibliográficos
Autores principales: Celebi, M, Schaefer, Gerald
Lenguaje:eng
Publicado: Springer 2013
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-94-007-5389-1
http://cds.cern.ch/record/1500434
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author Celebi, M
Schaefer, Gerald
author_facet Celebi, M
Schaefer, Gerald
author_sort Celebi, M
collection CERN
description Since the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imaging modalities that involve color information have been introduced. These include cervicography, dermoscopy, fundus photography, gastrointestinal endoscopy, microscopy, and wound photography. However, in comparison to monochrome images, the analysis of color images is a relatively unexplored area. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for monochrome images are often not directly applicable to multichannel images. The goal of this volume is to summarize the state-of-the-art in the utilization of color information in medical image analysis.
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institution Organización Europea para la Investigación Nuclear
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spelling cern-15004342021-04-22T00:00:39Zdoi:10.1007/978-94-007-5389-1http://cds.cern.ch/record/1500434engCelebi, MSchaefer, GeraldColor Medical Image AnalysisEngineeringSince the early 20th century, medical imaging has been dominated by monochrome imaging modalities such as x-ray, computed tomography, ultrasound, and magnetic resonance imaging. As a result, color information has been overlooked in medical image analysis applications. Recently, various medical imaging modalities that involve color information have been introduced. These include cervicography, dermoscopy, fundus photography, gastrointestinal endoscopy, microscopy, and wound photography. However, in comparison to monochrome images, the analysis of color images is a relatively unexplored area. The multivariate nature of color image data presents new challenges for researchers and practitioners as the numerous methods developed for monochrome images are often not directly applicable to multichannel images. The goal of this volume is to summarize the state-of-the-art in the utilization of color information in medical image analysis.Springeroai:cds.cern.ch:15004342013
spellingShingle Engineering
Celebi, M
Schaefer, Gerald
Color Medical Image Analysis
title Color Medical Image Analysis
title_full Color Medical Image Analysis
title_fullStr Color Medical Image Analysis
title_full_unstemmed Color Medical Image Analysis
title_short Color Medical Image Analysis
title_sort color medical image analysis
topic Engineering
url https://dx.doi.org/10.1007/978-94-007-5389-1
http://cds.cern.ch/record/1500434
work_keys_str_mv AT celebim colormedicalimageanalysis
AT schaefergerald colormedicalimageanalysis