Dermoscopy Image Analysis (Digital Imaging and Computer Vision)
暫譯: 皮膚鏡影像分析(數位影像與計算機視覺)
- 出版商: CRC
- 出版日期: 2015-10-16
- 售價: $8,320
- 貴賓價: 9.5 折 $7,904
- 語言: 英文
- 頁數: 486
- 裝訂: Hardcover
- ISBN: 1482253267
- ISBN-13: 9781482253269
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相關分類:
Computer Vision
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商品描述
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 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.
商品描述(中文翻譯)
皮膚鏡檢查(Dermoscopy)是一種非侵入性的皮膚影像技術,利用光學放大和液體浸入或交叉偏振光照明,使得與傳統臨床影像相比,皮膚下結構更容易被觀察到。它能夠識別數十種形態特徵,這些特徵在識別惡性黑色素瘤時尤其重要。
《皮膚鏡影像分析》(Dermoscopy Image Analysis)總結了皮膚鏡影像電腦化分析的最新技術。本書首先討論了顏色標準化對分類準確性的影響,然後:
- 探討了灰世界(gray-world)、最大RGB(max-RGB)和灰度色彩恆常性演算法,顯示在一組異質影像上,靈敏度和特異性有顯著提升
- 提出了一種新的色彩空間,突顯了潛在黑色素和血紅素色素的分佈,從而導致更準確的分類和邊界檢測結果
- 確定最新的邊界檢測演算法可以達到的協議水平僅略低於經驗豐富的皮膚科醫生之間的協議水平
- 提供了各種邊界檢測、色素網絡提取、全局模式提取、條紋檢測和感知顯著顏色檢測方法的綜合回顧
- 詳細介紹了一個針對黑色素瘤的電腦輔助診斷(CAD)系統,該系統具有低成本的獲取工具、臨床意義的特徵和可解釋的分類反饋
- 提出了一個在MapReduce框架中實現的高度可擴展的CAD系統,這是一個針對黑色素瘤的新型CAD系統,並概述了皮膚病影像數據庫
- 描述了利用一個公開可用的皮膚鏡影像數據庫的項目,該數據庫包含200張高質量影像及其醫學註釋
《皮膚鏡影像分析》不僅展示了最近的進展,還探討了這一醫學影像分析激動人心的子領域的未來方向,涵蓋了從預處理到分類的皮膚鏡影像分析。