Computer Vision Techniques for the Diagnosis of Skin Cancer

  • Jacob Scharcanski
  • M. Emre Celebi
Part of the Series in BioEngineering book series (SERBIOENG)

Table of contents

  1. Front Matter
    Pages i-x
  2. Maryam Sadeghi, Paul Wighton, Tim K. Lee, David McLean, Harvey Lui, M. Stella Atkins
    Pages 1-22
  3. Aurora Sáez, Begoña Acha, Carmen Serrano
    Pages 23-48
  4. Gabriella Fabbrocini, Valerio De Vita, Sara Cacciapuoti, Giuseppe Di Leo, Consolatina Liguori, Alfredo Paolillo et al.
    Pages 71-107
  5. Fengying Xie, Yefen Wu, Zhiguo Jiang, Rusong Meng
    Pages 109-137
  6. Jose Luis García Arroyo, Begoña García Zapirain
    Pages 139-192
  7. Robert Amelard, Jeffrey Glaister, Alexander Wong, David A. Clausi
    Pages 193-219
  8. Jiuai Sun, Zhao Liu, Yi Ding, Melvyn Smith
    Pages 243-265
  9. Yu Zhou, Zhuoyi Song
    Pages 267-282

About this book

Introduction

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.

Keywords

Computer Vision Medical Computer-aided Diagnonsis Confocal Spectroscopy Dermoscopy Malignant Melanoma Medical Image Anaylsis Multispectral Imaging Skin Cancer Screening Skin Infrared Imaging

Editors and affiliations

  • Jacob Scharcanski
    • 1
  • M. Emre Celebi
    • 2
  1. 1.Federal University of Rio Grande do SulPorto AlegreBrazil
  2. 2.Computer Science dept.Louisiana State University ShreveportShreveportUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-642-39608-3
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering
  • Print ISBN 978-3-642-39607-6
  • Online ISBN 978-3-642-39608-3
  • Series Print ISSN 2196-8861
  • Series Online ISSN 2196-887X
  • About this book