Computer Vision Techniques for the Diagnosis of Skin Cancer
Language: English
Published by Springer, 2016
- Softcover
- Used

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- Title
- Computer Vision Techniques for the Diagnosis of Skin Cancer
- Author
- Scharcanski, Jacob (EDT); Celebi, M. Emre (EDT)
- Publisher
- Springer
- Publication year
- 2016
- Condition
- As New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3662522624
- ISBN 13
- 9783662522622
- Series
- Book 3 of 24: Series in BioEngineering
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.
"Synopsis" may belong to another edition of this title.
From the Back Cover
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.
"About the title" may belong to another edition of this title.
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