
Computer Vision Techniques for the Diagnosis of Skin Cancer
Springer (Publisher)
Published on 10. October 2013
Book
Hardback
X, 282 pages
978-3-642-39607-6 (ISBN)
Description
The goal of this volume is to summarize the state-of-the-art in the utilization of computer vision techniques in the diagnosis of skin cancer.
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.
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 / Votes
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)
More details
Series
Edition
2014 ed.
Language
English
Place of publication
Berlin
Germany
Publishing group
Springer Berlin
Target group
Professional and scholarly
Research
Illustrations
16 s/w Abbildungen, 120 farbige Abbildungen
X, 282 p. 136 illus., 120 illus. in color.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 21 mm
Weight
606 gr
ISBN-13
978-3-642-39607-6 (9783642396076)
DOI
10.1007/978-3-642-39608-3
Schweitzer Classification
Other editions
Additional editions

Jacob Scharcanski | M. Emre Celebi
Computer Vision Techniques for the Diagnosis of Skin Cancer
Book
08/2016
Springer
€106.99
Shipment within 7-9 days

Jacob Scharcanski | M. Emre Celebi
Computer Vision Techniques for the Diagnosis of Skin Cancer
E-Book
09/2013
1st Edition
Springer
€96.29
Available for download
Content
Enhancement of skin images.- Registration of skin images.- Segmentation of skin images.- Feature extraction from skin images.- Classification of skin images.