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Dermoscopy Image Analysis

Book Hero Magic crafted this summary to help describe this book. While it's new and still learning, it may not be perfect - your feedback is welcome! Summary
Dermoscopy Image Analysis explores the latest advancements in the computerized analysis of dermoscopy images, a noninvasive technique that enhances skin imaging for better detection of malignant melanoma. The book covers critical topics including colour normalization, novel colour space development, state-of-the-art border detection algorithms, and various feature extraction methods essential for accurate diagnosis. It also presents innovative computer-aided diagnosis (CAD) systems and discusses scalability using modern computing frameworks. With comprehensive reviews and real-world database examples, this text serves as a thorough resource for understanding dermoscopy image analysis from preprocessing to classification.
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Format: Paperback / softback
$11100
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Book Hero Magic created this recommendation. While it's new and still learning, it may not be perfect - your feedback is welcome! IS THIS YOUR NEXT READ?

This book is ideal for professionals and researchers in medical imaging, dermatology, and computer science fields specialising in medical image analysis and melanoma diagnosis. It also benefits graduate students seeking in-depth technical knowledge of dermoscopy image processing and computer-aided diagnostic systems.

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Book Hero Magic formatted this description to make it easier to read. While it's new and still learning, it may not be perfect - your feedback is welcome! 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 summarises the state of the art of the computerised analysis of dermoscopy images. The book begins by discussing the influence of colour normalisation on classification accuracy and then:

  • Investigates gray-world, max-RGB, and shades-of-gray colour constancy algorithms, showing significant gains in sensitivity and specificity on a heterogeneous set of images.
  • Proposes a new colour space that highlights the distribution of underlying melanin and haemoglobin colour 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 colour detection.
  • Details a computer-aided diagnosis (CAD) system for melanomas that features an inexpensive acquisition tool, clinically meaningful features, and interpretable classification feedback.
  • Presents a highly scalable CAD system implemented in the MapReduce framework, a novel CAD system for melanomas, and an overview of dermatological image databases.
  • Describes projects that made use of a publicly available database of dermoscopy images, which contains 200 high-quality images along with their medical annotations.

Dermoscopy Image Analysis not only showcases recent advances but also explores future directions for this exciting subfield of medical image analysis, covering dermoscopy image analysis from preprocessing to classification.

Series: Digital Imaging and Computer Vision

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  • Dermoscopy Image Analysis
    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 summarises the state of the art of the...
    Paperback
    $11100
    Available
    Ships in 4-6 weeks

Book Details

INFORMATION

ISBN: 9781138892873

Publisher: Taylor & Francis Ltd

Format: Paperback / softback

Date Published: 09 March 2018

Country: United Kingdom

Imprint: CRC Press

Contributors:

  • Edited by M. Emre Celebi
  • Edited by Teresa Mendonca
  • Edited by Jorge S. Marques

Audience: General / adult, Tertiary education

DIMENSIONS

Width: 156.0mm

Height: 234.0mm

Weight: 453g

Pages: 508

About the Author

M. Emre Celebi earned a B.Sc in computer engineering at the Middle East Technical University, Ankara, Turkey, in 2002. He earned M.Sc and Ph.D degrees in computer science and engineering at the University of Texas at Arlington, USA, in 2003 and 2006, respectively. A senior member of the IEEE and SPIE, he is currently an associate professor and the founding director of the Image Processing and Analysis Laboratory, Department of Computer Science, Louisiana State University, Shreveport, USA. Widely published, Dr. Celebi has worked on several projects funded by the U.S. National Science Foundation and National Institutes of Health.

Teresa F. MendonΓ§a earned mathematics and Ph.D degrees at the University of Porto, Portugal, in 1980 and 1993, respectively. Currently, she is an assistant professor with the Mathematics Department, Faculty of Sciences, University of Porto, and a researcher at the Institute for Systems and Robotics–Porto. Her research interests are in the areas of identification, modeling, and control applied to the biomedical field. In recent years, she has been involved in projects for modeling and control in anesthesia and in medical image analysis.

Jorge S. Marques earned EE, Ph.D, and aggregation degrees at the Technical University of Lisbon, Portugal, in 1981, 1990, and 2002, respectively. Currently, he is an associate professor with the Electrical and Computer Engineering Department, Instituto Superior TΓ©cnico, Lisbon, Portugal, and a researcher at the Institute for Systems and Robotics, Portugal. He was the co-chairman of the IAPR Conference IbPRIA 2005, president of the Portuguese Association for Pattern Recognition (2001–2003), and associate editor of the Statistics and Computing Journal, Springer. His research interests are in the areas of statistical image processing, medical image analysis, and pattern recognition.

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