Computer Vision Techniques for the Diagnosis of Skin Cancer

Scharcanski, Jacob (Editor)/ Celebi, M. Emre (Editor)

ISBN 10: 3662522624 / ISBN 13: 9783662522622

Published by Springer Verlag, 2016

About this Item

reprint edition. 292 pages. 9.25x6.10x0.69 inches. In Stock.

Seller Inventory # x-3662522624

Bibliographic Details

• Title: Computer Vision Techniques for the Diagnosis of Skin Cancer
• Publisher: Springer Verlag
• Publication Date: 2016
• Language: English
• ISBN 10: 3662522624
• ISBN 13: 9783662522622
• Binding: Paperback
• Condition: Brand New
• Weight: 4.46 kilograms

About this title

Synopsis

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.