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Computer-aided diagnosis of architec...

University of Calgary (Canada).

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Computer-aided diagnosis of architectural distortion in mammograms.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Computer-aided diagnosis of architectural distortion in mammograms./
作者:	Ayres, Fabio Jose.
面頁冊數:	217 p.
附註:	Source: Dissertation Abstracts International, Volume: 68-11, Section: B, page: 7524.
Contained By:	Dissertation Abstracts International68-11B.
標題:	Biophysics, Medical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=NR33786
ISBN:	9780494337868

Computer-aided diagnosis of architectural distortion in mammograms.
Ayres, Fabio Jose.

Computer-aided diagnosis of architectural distortion in mammograms. - 217 p.

Source: Dissertation Abstracts International, Volume: 68-11, Section: B, page: 7524.

Thesis (Ph.D.)--University of Calgary (Canada), 2007.

Improvements in the detection of architectural distortion could increase the rate of detection of early breast cancer, and reduce morbidity and mortality due to breast cancer.

ISBN: 9780494337868Subjects--Topical Terms:

1017681
Biophysics, Medical.

Computer-aided diagnosis of architectural distortion in mammograms.
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100 1 $a Ayres, Fabio Jose. $3 1035366
245 1 0 $a Computer-aided diagnosis of architectural distortion in mammograms.
300 $a 217 p.
500 $a Source: Dissertation Abstracts International, Volume: 68-11, Section: B, page: 7524.
502 $a Thesis (Ph.D.)--University of Calgary (Canada), 2007.
520 $a Improvements in the detection of architectural distortion could increase the rate of detection of early breast cancer, and reduce morbidity and mortality due to breast cancer.
520 $a Breast cancer is the most frequently diagnosed cancer in women, and early detection of breast cancer is of utmost importance. Screening programs using mammography have been shown to be effective in reducing breast cancer mortality rates. Nevertheless, it is desirable to reduce the number of errors in screening mammography. Among the most commonly missed signs of breast cancer is architectural distortion, where the normal architecture of the breast is distorted with no definite mass visible.
520 $a In this thesis, new techniques are developed for computer-aided detection of architectural distortion in mammograms. The mammographic image presents oriented texture related to the anatomical features of the breast. The techniques developed in this work analyze the oriented texture patterns in search of signs that may indicate the presence of architectural distortion.
520 $a A bank of real Gabor filters is used to extract the orientation field associated with the oriented texture in the mammographic image: a study is presented comparing real Gabor filters to other oriented feature detectors. The orientation field is analyzed using phase portraits: several methods for the optimization of phase portrait models are analyzed and evaluated in this thesis.
520 $a Three methods for the detection of architectural distortion in mammograms are developed in this thesis. In the first method, the orientation field is analyzed using phase portraits; the resulting phase portrait maps are post-processed to detect sites of architectural distortion. A sensitivity of 88% was obtained at 15 false positives per image. The second method incorporates the rejection of oriented features not related to the appearance of architectural distortion, and the use of simulated annealing in the phase portrait analysis stage, resulting in a sensitivity of 84% at 7.8 false positives per image. In the third method. the phase portrait model is modified to prevent the acceptance of patterns where a focal point cannot be reliably identified. A sensitivity of 84% was achieved at 4.8 false positives per image.
590 $a School code: 0026.
650 4 $a Biophysics, Medical. $3 1017681
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Health Sciences, Radiology. $3 1019076
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710 2 $a University of Calgary (Canada). $3 1017619
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791 $a Ph.D.
792 $a 2007
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