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Computer Vision Techniques for the Diagnosis of Skin Cancer

Computer Vision Techniques for the Diagnosis of Skin Cancer

by M. Emre Celebi and Jacob Scharcanski
Hardback
Publication Date: 10/10/2013

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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.
ISBN:
9783642396076
9783642396076
Category:
Biomedical engineering
Format:
Hardback
Publication Date:
10-10-2013
Language:
English
Publisher:
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Country of origin:
Germany
Pages:
282
Dimensions (mm):
235x155x23mm
Weight:
0.61kg

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