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Dermoscopy Image Analysis

Condition: BRAND NEW ISBN: 9781482253269 Author(s): M. Emre Celebi Format: Hardcover Year: 2015 Publisher: Apple Academic Press Inc. Dimensions: 156 x 0 x 235 (w x l x h) Pages: 486 Series: Digital Imaging and Computer Vision Series Number: 10

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Description: Dermoscopy is a noninvasive skin imaging technique that uses optical magnification and either liquid immersion or cross-polarized lighting to make subsurface structures more easily visible when compared to conventional clinical images. It allows for the identification of dozens of morphological features that are particularly important in identifying malignant melanoma. Dermoscopy Image Analysis summarizes the state of the art of the computerized analysis of dermoscopy images. The book begins by discussing the influence of color normalization on classification accuracy and then: * Investigates gray-world, max-RGB, and shades-of-gray color constancy algorithms, showing significant gains in sensitivity and specificity on a heterogeneous set of images * Proposes a new color space that highlights the distribution of underlying melanin and hemoglobin color pigments, leading to more accurate classification and border detection results * Determines that the latest border detection algorithms can achieve a level of agreement that is only slightly lower than the level of agreement among experienced dermatologists * Provides a comprehensive review of various methods for border detection, pigment network extraction, global pattern extraction, streak detection, and perceptually significant color detection * Details a computer-aided diagnosis (CAD) system for melanomas that features an