Computer Vision Techniques for the Diagnosis of Skin Cancer: Series in BioEngineering
Editat de Jacob Scharcanski, M. Emre Celebien Limba Engleză Hardback – 10 oct 2013
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.
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Specificații
ISBN-13: 9783642396076
ISBN-10: 3642396070
Pagini: 292
Ilustrații: X, 282 p. 136 illus., 120 illus. in color.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.54 kg
Ediția:2014
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Series in BioEngineering
Locul publicării:Berlin, Heidelberg, Germany
ISBN-10: 3642396070
Pagini: 292
Ilustrații: X, 282 p. 136 illus., 120 illus. in color.
Dimensiuni: 155 x 235 x 21 mm
Greutate: 0.54 kg
Ediția:2014
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seria Series in BioEngineering
Locul publicării:Berlin, Heidelberg, Germany
Public țintă
ResearchCuprins
Enhancement of skin images.- Registration of skin images.- Segmentation of skin images.- Feature extraction from skin images.- Classification of skin images.
Recenzii
From the reviews:
“Researchers specializing in applying mathematical principles for generating an accurate computer analysis of dermatoscopic images of pigmented lesions may want to read this book. … The purpose is to provide current information on computer visualization of pigmented skin lesions and skin cancers. The audience is researchers in the field.” (Patricia Wong, Doody’s Book Reviews, February, 2014)
“Researchers specializing in applying mathematical principles for generating an accurate computer analysis of dermatoscopic images of pigmented lesions may want to read this book. … The purpose is to provide current information on computer visualization of pigmented skin lesions and skin cancers. The audience is researchers in the field.” (Patricia Wong, Doody’s Book Reviews, February, 2014)
Textul de pe ultima copertă
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.
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.
Caracteristici
Addresses the utilization of computer vision techniques in the diagnosis of skin cancer Contains the state-of-the-art in skin cancer image analysis in a single comprehensive volume Each chapter is contributed by a leading expert in the field Includes supplementary material: sn.pub/extras