Modeling and analysis of shape with applications in computer-aided diagnosis of breast cancer
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Author
Contributions
- Rangayyan, Rangaraj M. - Contributor
Publication
2011 - Morgan & Claypool, San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA), California
Language
English
Word Count
0 words, Guess
Page Count
0 pages
Physical Format
Electronic resource
Identifiers
- Internet Archivemodelinganalysis00guli
- Internet Archivemodelinganalysis00dgul
- ISBN-139781608450336
- ISBN-139781608450329
- ISBN-101608450333
and 4 more
- ISBN-101608450325
- Better World Books9781608450329
- Better World Books9781608450336
- Open LibraryOL25543173M
Classifications
- DDC616.99449
- LCCRC280.B8 G855 2011
Alternate 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.
Subjects
Series Statement
- Synthesis lectures on biomedical engineering -- # 39
Other Editions
- Modeling and analysis of shape with applications in computer-aided diagnosis of breast cancer
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