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EBOOK
Title Computer vision techniques for the diagnosis of skin cancer / Jacob Scharcanski, M. Emre Celebi, editors.
Imprint Heidelberg : Springer, [2013?]
2014

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Series Series in bioengineering, 2196-8861
Series in bioengineering. 2196-8861
Subject Skin -- Cancer -- Diagnosis -- Technological innovations.
Computer vision in medicine.
Skin Neoplasms -- diagnosis.
Dermoscopy -- methods.
Image Interpretation, Computer-Assisted.
Alt Name Scharcanski, Jacob,
Celebi, M. Emre,
Description 1 online resource (x, 282 pages) : illustrations (some color).
polychrome rdacc
Contents Pigment Network Detection and Analysis / Maryam Sadeghi, Paul Wighton, Tim K. Lee, David McLean, Harvey Lui and M. Stella Atkins -- Pattern Analysis in Dermoscopic Images / Aurora Saez, Begona Acha and Carmen Serrano -- A Bag-of-Features Approach for the Classification of Melanomas in Dermoscopy Images: The Role of Color and Texture Descriptors / Catarina Barata, Margarida Ruela, Teresa Mendonca and Jorge S. Marques -- Automatic Diagnosis of Melanoma Based on the 7-Point Checklist / Gabriella Fabbrocini, Valerio De Vita, Sara Cacciapuoti, Giuseppe Di Leo [and 4 others] -- Dermoscopy Image Processing for Chinese / Fengying Xie, Yefen Wu, Zhiguo Jiang and Rusong Meng -- Automated Detection of Melanoma in Dermoscopic Images / Jose Luis Garcia Arroyo and Begona Garcia Zapirain -- Melanoma Decision Support Using Lighting-Corrected Intuitive Feature Models / Robert Amelard, Jeffrey Glaister, Alexander Wong and David A. Clausi -- Texture Information in Melanocytic Skin Lesion Analysis Based on Standard Camera Images / Pablo G. Cavalcanti and Jacob Scharcanski -- Recovering Skin Reflectance and Geometry for Diagnosis of Melanoma / Jiuai Sun, Zhao Liu, Yi Ding and Melvyn Smith -- Melanoma Diagnosis with Multiple Decision Trees / Yu Zhou and Zhuoyi Song.
Bibliography Note Includes bibliographical references.
Summary 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.
Note Online resource; title from PDF title page (SpringerLink, viewed October 7, 2013).
ISBN 9783642396083 (electronic bk.)
3642396089 (electronic bk.)
3642396070
9783642396076
9783642396076
ISBN/ISSN 10.1007/978-3-642-39608-3
OCLC # 861688468
Additional Format Printed edition: 9783642396076


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