Celebi / Mendonca / Marques Dermoscopy Image Analysis

Erscheinungsjahr 2015
ISBN: 978-1-4822-5327-6
Verlag: Taylor & Francis
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 486 Seiten

Reihe: Digital Imaging and Computer Vision

Demoscopy is a non-invasive skin imaging technique that uses optical magnification and either liquid immersion or cross- polarized lighting that makes subsurface structures more easily visible when compared to conventional clinical images. It allows the identification of dozens of morphological features, which is particularly important related to malignant melanoma. This book summarizes the state of the art for this exciting subfield within medical image analysis.

Autoren/Hrsg.

Celebi, M. Emre

Mendonca, Teresa

Marques, Jorge S.

Fachgebiete

• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Klinische und Innere Medizin Dermatologie
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik

Inhaltsverzeichnis

Global Pattern Classification in Dermoscopic Images. Detection of Streaks in Dermoscopy Image Analysis. Towards a Robust Classification of Dermoscopy Images under Different Acquisition Setups. A State-of-the-Art Survey on Lesion Border Detection in Dermoscopy Images. Invariant Texture Descriptors for Dermoscopy. Colour in Dermoscopy Image Analysis: From Low-Level Features to High-Level Semantics. Accurate and Scalable System for Automatic Detection of Malignant Melanoma. Automatic Detection of Melanoma: An Application Based on the ABCD Criteria. Color Assessment for Melanoma Diagnosis Based on Perceptible Color Region. Streak-Detection in Dermoscopic Color Images using Localized Radial Flux of Principal Intensity Curvature. Where’s the Lesion? Variability in Human and Automated Segmentation of Dermatoscopically Imaged Melanocytic Lesions. Novel Segmentation-Classification Techniques for Dermoscopic Images Using Wavelet Transform. From Dermoscopy to Mobile Teledermatology. Computer Aided Diagnosis of Malignant Melanoma Based on Digital Dermoscopy. Comparison of Digital Signal Processing Techniques for Reticular Pattern Recognition in Melanoma Detection. Early Detection of Melanoma in Dermoscopy of Skin Lesion Images by Computer Vision Based System. PH2 - A Public Database for the Analysis of Dermoscopic Images.