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Fuzzy segmentation of the breast reg...

Wang, Rui.

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Fuzzy segmentation of the breast region in mammograms.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fuzzy segmentation of the breast region in mammograms./
作者:	Wang, Rui.
面頁冊數:	153 p.
附註:	Source: Masters Abstracts International, Volume: 42-03, page: 0977.
Contained By:	Masters Abstracts International42-03.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=MQ85115
ISBN:	061285115X

Fuzzy segmentation of the breast region in mammograms.
Wang, Rui.

Fuzzy segmentation of the breast region in mammograms. - 153 p.

Source: Masters Abstracts International, Volume: 42-03, page: 0977.

Thesis (M.Sc.)--University of Guelph (Canada), 2003.

This thesis is an investigation of segmenting the breast region in mammogram by using fuzzy image processing. Mammography is currently accepted as the most effective imaging for detecting breast cancer.

ISBN: 061285115XSubjects--Topical Terms:

626642
Computer Science.

Fuzzy segmentation of the breast region in mammograms.
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502 $a Thesis (M.Sc.)--University of Guelph (Canada), 2003.
520 $a This thesis is an investigation of segmenting the breast region in mammogram by using fuzzy image processing. Mammography is currently accepted as the most effective imaging for detecting breast cancer.
520 $a This thesis addresses the fundamental question of segmenting breast region from background. Four main theoretical approaches, used to separate the breast area from mammograms, are: histogram based thresholding, gradient edge-based methods, region-based techniques, and connectivity-based segmentations.
520 $a A fuzzy clustering algorithm is theoretically considered as one of most suitable for delineating the skin-air interface in mammogram, based on the difficulty of breast segmentation. The combination of the edge direction of breast contour with the standard FCM improves the segmentation result in breast segmentation. A robust segmentation module, which attempts to blend currently available image processing techniques into a single segmentation task, is used with FCM plus edge direction, in order to obtain the better segmentation result.
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