Dermoscopy Image Analysis

Dermoscopy Image Analysis provides a comprehensive overview of computerized dermoscopy, a noninvasive imaging technique that enhances visualization of subsurface skin structures. By combining optical magnification with techniques such as liquid immersion or cross-polarized lighting, dermoscopy allows clinicians and researchers to detect key morphological features, particularly for malignant melanoma. This text focuses on the state-of-the-art methods for analyzing dermoscopic images using advanced computational approaches.

Key Features

• Color normalization and classification: Examines algorithms such as gray-world, max-RGB, and shades-of-gray, improving sensitivity and specificity in heterogeneous image sets.
• Innovative color space: Introduces a color model highlighting melanin and hemoglobin distribution, enhancing border detection and classification accuracy.
• Advanced border detection: Reviews algorithms capable of achieving performance nearly equivalent to experienced dermatologists.
• Feature extraction techniques: Covers pigment network extraction, global pattern extraction, streak detection, and perceptually significant color detection.
• Computer-aided diagnosis (CAD) systems: Presents scalable CAD implementations, interpretable classification feedback, and cost-effective acquisition tools.
• Dermoscopic image databases: Discusses publicly available datasets with medical annotations for research and validation purposes.
• Future directions: Explores emerging trends in automated dermoscopy image analysis, from preprocessing to classification, emphasizing practical clinical and research applications.

Product Details

• Series: Digital Imaging and Computer Vision (Book 10)
• Publisher: CRC Press (October 9, 2015).
• Language: English
• ISBN-10: 1482253267
• ISBN-13: 978-1482253269