ENGLISH

Color Medical Image Analysis

By Gerald Schaefer (eds.) , Edward Kim , Xiaolei Huang (auth.) , M. Emre Celebi

Book information

Publisher
Springer Netherlands
Year
2013
ISBN
978-94-007-5388-4, 978-94-007-5389-1
DOI
10.1007/978-94-007-5389-1
Language
english
Format
PDF
Filesize
6 MB (6759920 bytes)
Series
Lecture Notes in Computational Vision and Biomechanics 6
Edition
1
Pages
206\207
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Biomedical Engineering; Image Processing and Compu

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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