TY  - BOOK
AU  - Scharcanski,Jacob
AU  - Celebi,M.Emre
ED  - SpringerLink (Online service)
TI  - Computer Vision Techniques for the Diagnosis of Skin Cancer
T2  - Series in BioEngineering,
SN  - 9783642396083
AV  - R856-857 
U1  - 610.28 23
PY  - 2014///
CY  - Berlin, Heidelberg
PB  - Springer Berlin Heidelberg, Imprint: Springer
KW  - engineering
KW  - Dermatology
KW  - Computer vision
KW  - Biomedical engineering
KW  - Engineering
KW  - Biomedical Engineering
KW  - Image Processing and Computer Vision
KW  - Signal, Image and Speech Processing
KW  - Medical and Radiation Physics
N1  - Enhancement of skin images -- Registration of skin images -- Segmentation of skin images -- Feature extraction from skin images -- Classification of skin images
N2  - 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
UR  - http://dx.doi.org/10.1007/978-3-642-39608-3
ER  -