- Addresses the utilization of color information in medical image
- Analysis contains contributions of leading experts in the area
- State-of-the-art in color medical image analysis
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- About this book
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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.
- Table of contents (10 chapters)
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A Data Driven Approach to Cervigram Image Analysis and Classification
Pages 1-13
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Macroscopic Pigmented Skin Lesion Segmentation and Its Influence on Lesion Classification and Diagnosis
Pages 15-39
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Color and Spatial Features Integrated Normalized Distance for Density Based Border Detection in Dermoscopy Images
Pages 41-61
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A Color and Texture Based Hierarchical K-NN Approach to the Classification of Non-melanoma Skin Lesions
Pages 63-86
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Color Quantization of Dermoscopy Images Using the K-Means Clustering Algorithm
Pages 87-107
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Table of contents (10 chapters)
- Download Preface 1 PDF (68 KB)
- Download Sample pages 2 PDF (694.1 KB)
- Download Table of contents PDF (43.8 KB)
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Bibliographic Information
- Bibliographic Information
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- Book Title
- Color Medical Image Analysis
- Editors
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- M. Emre Celebi
- Gerald Schaefer
- Series Title
- Lecture Notes in Computational Vision and Biomechanics
- Series Volume
- 6
- Copyright
- 2013
- Publisher
- Springer Netherlands
- Copyright Holder
- Springer Science+Business Media Dordrecht
- eBook ISBN
- 978-94-007-5389-1
- DOI
- 10.1007/978-94-007-5389-1
- Hardcover ISBN
- 978-94-007-5388-4
- Softcover ISBN
- 978-94-017-8129-9
- Series ISSN
- 2212-9391
- Edition Number
- 1
- Number of Pages
- X, 206
- Topics