Computer vision techniques for the diagnosis of skin cancer [electronic resource] / Jacob Scharcanski, M. Emre Celebi, editors.
2013
RC280.S5
Linked e-resources
Linked Resource
Online Access
Details
Title
Computer vision techniques for the diagnosis of skin cancer [electronic resource] / Jacob Scharcanski, M. Emre Celebi, editors.
ISBN
9783642396083 electronic book
3642396089 electronic book
9783642396076
3642396089 electronic book
9783642396076
Published
Heidelberg : Springer, [2013?]
Copyright
©2014
Language
English
Description
1 online resource (x, 282 pages) : illustrations (some color).
Item Number
10.1007/978-3-642-39608-3 doi
Call Number
RC280.S5
Dewey Decimal Classification
616.99/477075
Summary
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.
Bibliography, etc. Note
Includes bibliographical references.
Access Note
Access limited to authorized users.
Source of Description
Description based on online resource; title from PDF title page (SpringerLink, viewed October 7, 2013).
Series
Series in bioengineering, 2196-8861
Linked Resources
Online Access
Record Appears in
Online Resources > Ebooks
All Resources
All Resources
Table of Contents
Enhancement of skin images
Registration of skin images
Segmentation of skin images
Feature extraction from skin images
Classification of skin images.
Registration of skin images
Segmentation of skin images
Feature extraction from skin images
Classification of skin images.