| 000 | 04700nam a22005175i 4500 | ||
|---|---|---|---|
| 001 | 978-3-031-79429-2 | ||
| 003 | DE-He213 | ||
| 005 | 20240730164742.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 220601s2011 sz | s |||| 0|eng d | ||
| 020 |
_a9783031794292 _9978-3-031-79429-2 |
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| 024 | 7 |
_a10.1007/978-3-031-79429-2 _2doi |
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| 050 | 4 | _aT1-995 | |
| 072 | 7 |
_aTBC _2bicssc |
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_aTEC000000 _2bisacsh |
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_aTBC _2thema |
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| 082 | 0 | 4 |
_a620 _223 |
| 100 | 1 |
_aGuliato, Denise. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _985917 |
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| 245 | 1 | 0 |
_aModeling and Analysis of Shape with Applications in Computer-aided Diagnosis of Breast Cancer _h[electronic resource] / _cby Denise Guliato, Rangaraj Rangayyan. |
| 250 | _a1st ed. 2011. | ||
| 264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2011. |
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| 300 |
_aXX, 75 p. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSynthesis Lectures on Biomedical Engineering, _x1930-0336 |
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| 505 | 0 | _aAnalysis of Shape -- Polygonal Modeling of Contours -- Shape Factors for Pattern Classification -- Classification of Breast Masses. | |
| 520 | _aMalignant 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. This book presents polygonal modeling methods that reduce the influence of noise and artifacts while preserving the diagnostically relevant features, in particular the spicules and lobulations in the given contours. In order to facilitate the derivation of features that capture the characteristics of shape roughness of contours of breast masses, methods to derive a signature based on the turning angle function obtained from the polygonal model are described. Methods are also described to derive an index of spiculation, an index characterizing the presence of convex regions, an index characterizing the presence of concave regions, an index of convexity, and a measure of fractal dimension from the turning angle function. Results of testing the methods with a set of 111 contours of 65 benign masses and 46 malignant tumors are presented and discussed. It is shown that shape modeling and analysis can lead to classification accuracy in discriminating between benign masses and malignant tumors, in terms of the area under the receiver operating characteristic curve, of up to 0.94. The methods have applications in modeling and analysis of the shape of various types of regions or objects in images, computer vision, computer graphics, and analysis of biomedical images, with particular significance in computer-aided diagnosis of breast cancer. Table of Contents: Analysis of Shape / Polygonal Modeling of Contours / Shape Factors for Pattern Classification / Classification of Breast Masses. | ||
| 650 | 0 |
_aEngineering. _99405 |
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| 650 | 0 |
_aBiophysics. _94093 |
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| 650 | 0 |
_aBiomedical engineering. _93292 |
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| 650 | 1 | 4 |
_aTechnology and Engineering. _985920 |
| 650 | 2 | 4 |
_aBiophysics. _94093 |
| 650 | 2 | 4 |
_aBiomedical Engineering and Bioengineering. _931842 |
| 700 | 1 |
_aRangayyan, Rangaraj. _eauthor. _4aut _4http://id.loc.gov/vocabulary/relators/aut _985921 |
|
| 710 | 2 |
_aSpringerLink (Online service) _985923 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031794285 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783031794308 |
| 830 | 0 |
_aSynthesis Lectures on Biomedical Engineering, _x1930-0336 _985925 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-031-79429-2 |
| 912 | _aZDB-2-SXSC | ||
| 942 | _cEBK | ||
| 999 |
_c85878 _d85878 |
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