Computer Vision Techniques for the Diagnosis of Skin Cancer (Record no. 52967)

000 -LEADER
fixed length control field 03072nam a22005535i 4500
001 - CONTROL NUMBER
control field 978-3-642-39608-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20200420221257.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130930s2014 gw | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783642396083
-- 978-3-642-39608-3
082 04 - CLASSIFICATION NUMBER
Call Number 610.28
245 10 - TITLE STATEMENT
Title Computer Vision Techniques for the Diagnosis of Skin Cancer
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 282 p. 136 illus., 120 illus. in color.
490 1# - SERIES STATEMENT
Series statement Series in BioEngineering,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Enhancement of skin images -- Registration of skin images -- Segmentation of skin images -- Feature extraction from skin images -- Classification of skin images.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Scharcanski, Jacob.
700 1# - AUTHOR 2
Author 2 Celebi, M. Emre.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier http://dx.doi.org/10.1007/978-3-642-39608-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Berlin, Heidelberg :
-- Springer Berlin Heidelberg :
-- Imprint: Springer,
-- 2014.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Dermatology.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Medical physics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Radiation.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Biomedical Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Image Processing and Computer Vision.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Image and Speech Processing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Medical and Radiation Physics.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Dermatology.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2196-8861
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-- ZDB-2-ENG

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