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Color Medical Image Analysis: 6 (Lecture Notes in Computational Vision and Biomechanics) - Softcover
Inhaltsangabe
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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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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Color Medical Image Analysis
Verlag:
Springer Netherlands, Springer Netherlands, 2014
ISBN 10: 940178129X
ISBN 13: 9789401781299
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Artikel-Nr. 9789401781299
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Color Medical Image Analysis (Lecture Notes in Computational Vision and Biomechanics, 6)
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