Modeling and analysis of shape with applications in computer-aided diagnosis of breast cancer
By: Denise Guliato, Rangaraj M. Rangayyan
Contributors: Rangayyan, Rangaraj M.
Series: Synthesis lectures on biomedical engineering -- # 39
Publisher: Morgan & Claypool
Published: 2011
Place of publication: San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA)
Language: eng
Format: [electronic resource] /
ISBN-13: 9781608450336; 9781608450329
Subjects: Diagnosis; Breast Neoplasms; Cancer; Data processing; Form perception; Tumors; Breast
Other titles: Synthesis digital library of engineering and computer science.
Description: 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.
Notes: Part of: Synthesis digital library of engineering and computer science.

Series from website.

Includes bibliographical references (p. 65-71) and index.

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Table of contents: title: Preface; title: Acknowledgments; title: Symbols and abbreviations; title: 1. Analysis of shape; title: The importance of shape; title: Characteristics of breast tumors; title: Representation of shape; title: Organization of the book; title: 2. Polygonal modeling of contours; title: Review of methods for polygonal modeling; title: Rule-based polygonal modeling of contours; title: Comparative analysis of polygonal models; title: Polygonal approximation of contours based on the turning angle function; title: The TAF of a contour; title: Polygonal model from the TAF; title: Polygonal model from the filtered TAF; title: Illustrations of application; title: Remarks; title: 3. Shape factors for pattern classification; title: Signature based on the filtered TAF; title: Feature extraction from the STAF; title: Derivation of an index of spiculation from the STAF; title: Fractal dimension from the STAF; title: Index of convexity; title: Shape factors from contours; title: Compactness; title: Spiculation index; title: Fractional concavity; title: Fourier factor; title: Fractal analysis; title: Remarks; title: 4. Classification of breast masses; title: Datasets of contours of breast masses; title: Results of shape analysis and classification; title: Remarks; title: References; title: Authors' biographies; title: Index.