Computer vision techniques for the diagnosis of skin cancer [electronic resource] / Jacob Scharcanski, M. Emre Celebi, editors.

Computer vision techniques for the diagnosis of skin cancer [electronic resource] / Jacob Scharcanski, M. Emre Celebi, editors.

9783642396083 electronic book
3642396089 electronic book
9783642396076

Heidelberg : Springer, [2013?]

©2014

English

1 online resource (x, 282 pages) : illustrations (some color).

10.1007/978-3-642-39608-3 doi

RC280.S5

616.99/477075

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.

Includes bibliographical references.

Access limited to authorized users.

Description based on online resource; title from PDF title page (SpringerLink, viewed October 7, 2013).

Series in bioengineering, 2196-8861

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