Modeling and analysis of shape with applications in computer-aided diagnosis of breast cancer /

Bibliographic Details
Main Author:	Guliato, Denise
Other Authors:	Rangayyan, Rangaraj M.
Format:	eBook
Language:	English
Published:	San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA) : Morgan & Claypool, [2011]
Series:	Synthesis digital library of engineering and computer science. Synthesis lectures on biomedical engineering. # 39.
Subjects:	Breast > Cancer > Diagnosis > Data processing. Form perception > Data processing. Breast > Tumors. Breast Neoplasms. Breast cancer Breast masses Breast tumors Compactness Concavity Convexity Fourier descriptors Fractal dimension Polygonal modeling Shape analysis Shape factors Shape modeling Signature of a contour Spiculation index Turning angle function Electronic books.
Online Access:	Connect to the full text of this electronic book

Description
Abstract:	Malignant tumors due to breast cancer and masses due to benign disease appear in mammograms with different shape characteristics: the former usually have rough, spiculated, or microlobulated contours, whereas the latter commonly have smooth, round, oval, or macrolobulated contours. Features that characterize shape roughness and complexity can assist in distinguishing between malignant tumors and benign masses. In spite of the established importance of shape factors in the analysis of breast tumors and masses, difficulties exist in obtaining accurate and artifact-free boundaries of the related regions from mammograms. Whereas manually drawn contours could contain artifacts related to hand tremor and are subject to intra-observer and inter-observer variations, automatically detected contours could contain noise and inaccuracies due to limitations or errors in the procedures for the detection and segmentation of the related regions. Modeling procedures are desired to eliminate the artifacts in a given contour, while preserving the important and significant details present in the contour.
Item Description:	Part of: Synthesis digital library of engineering and computer science. Series from website. Electronic resource.
Physical Description:	1 online resource (xix, 75 pages) : illustrations, digital file.
Bibliography:	Includes bibliographical references (pages 65-71) and index. References-Authors' biographies-Index.
ISBN:	9781608450336 (electronic bk.) 1608450333 (electronic bk.)
ISSN:	1930-0336 ;