Overview
- Addresses the utilization of computer vision techniques in the diagnosis of skin cancer
- Contains the state-of-the-art in skin cancer image analysis in a single comprehensive volume
- Each chapter is contributed by a leading expert in the field
- Includes supplementary material: sn.pub/extras
Part of the book series: Series in BioEngineering (SERBIOENG)
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Table of contents (10 chapters)
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Front Matter
Keywords
About this book
Malignant melanoma is one of the most rapidly increasing cancers in the world. Early diagnosis is particularly important since melanoma can be cured with a simple excision if detected early. In recent years, dermoscopy has proved valuable in visualizing the morphological structures in pigmented lesions. However, it has also been shown that dermoscopy is difficult to learn and subjective. Newer technologies such as infrared imaging, multispectral imaging, and confocal microscopy, have recently come to the forefront in providing greater diagnostic accuracy. These imaging technologies presented in this book can serve as an adjunct to physicians and provide automated skin cancer screening. Although computerized techniques cannot as yet provide a definitive diagnosis, they can be used to improve biopsy decision-making as well as early melanoma detection, especially for patients with multiple atypical nevi.
Reviews
From the reviews:
“Researchers specializing in applying mathematical principles for generating an accurate computer analysis of dermatoscopic images of pigmented lesions may want to read this book. … The purpose is to provide current information on computer visualization of pigmented skin lesions and skin cancers. The audience is researchers in the field.” (Patricia Wong, Doody’s Book Reviews, February, 2014)
Editors and Affiliations
Bibliographic Information
Book Title: Computer Vision Techniques for the Diagnosis of Skin Cancer
Editors: Jacob Scharcanski, M. Emre Celebi
Series Title: Series in BioEngineering
DOI: https://doi.org/10.1007/978-3-642-39608-3
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2014
Hardcover ISBN: 978-3-642-39607-6Published: 10 October 2013
Softcover ISBN: 978-3-662-52262-2Published: 27 August 2016
eBook ISBN: 978-3-642-39608-3Published: 30 September 2013
Series ISSN: 2196-8861
Series E-ISSN: 2196-887X
Edition Number: 1
Number of Pages: X, 282
Number of Illustrations: 16 b/w illustrations, 120 illustrations in colour
Topics: Biomedical Engineering and Bioengineering, Image Processing and Computer Vision, Signal, Image and Speech Processing, Medical and Radiation Physics, Dermatology