Series in BioEngineering

Computer Vision Techniques for the Diagnosis of Skin Cancer

Editors: Scharcanski, Jacob, Celebi, M. Emre (Eds.)

  • 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
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eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-39608-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-642-39607-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 14, 2016
  • ISBN 978-3-662-52262-2
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
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About this book

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.

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)

Table of contents (10 chapters)

  • Pigment Network Detection and Analysis

    Sadeghi, Maryam (et al.)

    Pages 1-22

  • Pattern Analysis in Dermoscopic Images

    Sáez, Aurora (et al.)

    Pages 23-48

  • A Bag-of-Features Approach for the Classification of Melanomas in Dermoscopy Images: The Role of Color and Texture Descriptors

    Barata, Catarina (et al.)

    Pages 49-69

  • Automatic Diagnosis of Melanoma Based on the 7-Point Checklist

    Fabbrocini, Gabriella (et al.)

    Pages 71-107

  • Dermoscopy Image Processing for Chinese

    Xie, Fengying (et al.)

    Pages 109-137

Buy this book

eBook $99.00
price for USA (gross)
  • ISBN 978-3-642-39608-3
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $129.00
price for USA
  • ISBN 978-3-642-39607-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $129.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 14, 2016
  • ISBN 978-3-662-52262-2
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Computer Vision Techniques for the Diagnosis of Skin Cancer
Editors
  • Jacob Scharcanski
  • M. Emre Celebi
Series Title
Series in BioEngineering
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-39608-3
DOI
10.1007/978-3-642-39608-3
Hardcover ISBN
978-3-642-39607-6
Softcover ISBN
978-3-662-52262-2
Series ISSN
2196-8861
Edition Number
1
Number of Pages
X, 282
Number of Illustrations and Tables
16 b/w illustrations, 120 illustrations in colour
Topics