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E-book
Author Marques, Paulo Mazzoncini de Azevedo, 1964- author.

Title Content-based retrieval of medical images : landmarking, indexing, and relevance feedback / Paulo Mazzoncini de Azevedo-Marques, Rangaraj Mandayam Rangayyan
Published Cham, Switzerland : Springer, [2013]
©2013
Online access available from:
Synthesis Digital Library    View Resource Record  

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Description 1 online resource (xxiv, 119 pages) : illustrations (some color), portraits
Series Synthesis lectures on biomedical engineering, 1930-0336 ; #48
Synthesis lectures on biomedical engineering ; #48.
Contents Introduction to content-based image retrieval -- Mammography and CAD of breast cancer -- Segmentation and landmarking of mammograms -- Feature extraction and indexing of mammograms -- Content-based retrieval of mammograms -- Integration of CBIR, CAD into radiological workflow
Summary "The aim of this book is to present some of the recent developments in the areas of CBIR [content-based image retrieval] and CAD [computer-aided diagnosis], with particular reference to mammography and breast cancer"--Preface
Content-based image retrieval (CBIR) is the process of retrieval of images from a database that are similar to a query image, using measures derived from the images themselves, rather than relying on accompanying text or annotation. To achieve CBIR, the contents of the images need to be characterized by quantitative features; the features of the query image are compared with the features of each image in the database and images having high similarity with respect to the query image are retrieved and displayed. CBIR of medical images is a useful tool and could provide radiologists with assistance in the form of a display of relevant past cases. One of the challenging aspects of CBIR is to extract features from the images to represent their visual, diagnostic, or application-specific information content. In this book, methods are presented for preprocessing, segmentation, landmarking, feature extraction, and indexing of mammograms for CBIR. The preprocessing steps include anisotropic diffusion and the Wiener filter to remove noise and perform image enhancement. Techniques are described for segmentation of the breast and fibroglandular disk, including maximum entropy, a moment-preserving method, and Otsu's method. Image processing techniques are described for automatic detection of the nipple and the edge of the pectoral muscle via analysis in the Radon domain. By using the nipple and the pectoral muscle as landmarks, mammograms are divided into their internal, external, upper, and lower parts for further analysis. Methods are presented for feature extraction using texture analysis, shape analysis, granulometric analysis, moments, and statistical measures
Analysis Anisotropic diffusion Breast cancer Breast density Computer-aided diagnosis Contentbased image retrieval Fibroglandular disk Granulometry Image enhancement Image segmentation Information retrieval Kohonen self-organizing map Landmarking of images Mammography Nipple detection Pattern recognition Pectoral muscle Picture archival and communication system Radon transform Relevance feedback Texture analysis Wiener filter
Notes Part of: Synthesis digital library of engineering and computer science
Bibliography Includes bibliographical references (pages 101-113) and index
Notes Online resource; title from PDF title page (Morgan & Claypool, viewed Feb. 15, 2013)
Subject Breast -- Radiography -- Data processing
Breast -- Cancer -- Imaging -- Data processing
Content-based image retrieval.
Picture archiving and communication systems in medicine.
Digital images -- Abstracting and indexing
Diagnostic imaging.
Diagnostic Imaging
Mammography
Radiology Information Systems
HEALTH & FITNESS -- Women's Health.
MEDICAL -- Reproductive Medicine & Technology.
Breast -- Radiography -- Data processing
Content-based image retrieval
Diagnostic imaging
Picture archiving and communication systems in medicine
Form Electronic book
Author Rangayyan, Rangaraj M., author
ISBN 9781627051422
1627051422
1627051414
9781627051415
9783031016516
3031016513
OTHER TI Synthesis digital library of engineering and computer science. http://id.loc.gov/authorities/names/n2016188085