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Analysis of breast lesions using a s...

Lee, Matthew Allen.

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Analysis of breast lesions using a simplified rubber band straightening transform and the onion transform.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Analysis of breast lesions using a simplified rubber band straightening transform and the onion transform./
作者:	Lee, Matthew Allen.
面頁冊數:	57 p.
附註:	Source: Masters Abstracts International, Volume: 45-04, page: 2045.
Contained By:	Masters Abstracts International45-04.
標題:	Engineering, Biomedical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1441772

Analysis of breast lesions using a simplified rubber band straightening transform and the onion transform.
Lee, Matthew Allen.

Analysis of breast lesions using a simplified rubber band straightening transform and the onion transform. - 57 p.

Source: Masters Abstracts International, Volume: 45-04, page: 2045.

Thesis (M.S.)--Mississippi State University, 2007.

This thesis compares different methods that could be used to construct a computer aided diagnosis (CAD) system that analyzes mammograms. Such systems have many steps, but this thesis focuses on feature extraction, feature selection, and classification. The main comparison is between the simplified Rubber Band Straightening Transform (SRBST) and the Onion Transform, which are used to extract texture features. Another comparison is between 2D and 3D co-occurrence matrices. Next, features are selected using a greedy algorithm. This section mainly compares the effectiveness of Receiver Operating Characteristic (ROC) and Class Overlap Rating (COR). Also evaluated are the effectiveness of Linear Discriminate Analysis (LDA) and the sort order of features. Then the selected features are used to classify the lesions. In this part, Nearest Mean, Nearest Neighbor, and Maximum Likelihood are compared. The results are then used to determine the best combination of methods to use in a CAD system.Subjects--Topical Terms:

1017684
Engineering, Biomedical.

Analysis of breast lesions using a simplified rubber band straightening transform and the onion transform.
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100 1 $a Lee, Matthew Allen. $3 1918305
245 1 0 $a Analysis of breast lesions using a simplified rubber band straightening transform and the onion transform.
300 $a 57 p.
500 $a Source: Masters Abstracts International, Volume: 45-04, page: 2045.
500 $a Adviser: Lori Mann Bruce.
502 $a Thesis (M.S.)--Mississippi State University, 2007.
520 $a This thesis compares different methods that could be used to construct a computer aided diagnosis (CAD) system that analyzes mammograms. Such systems have many steps, but this thesis focuses on feature extraction, feature selection, and classification. The main comparison is between the simplified Rubber Band Straightening Transform (SRBST) and the Onion Transform, which are used to extract texture features. Another comparison is between 2D and 3D co-occurrence matrices. Next, features are selected using a greedy algorithm. This section mainly compares the effectiveness of Receiver Operating Characteristic (ROC) and Class Overlap Rating (COR). Also evaluated are the effectiveness of Linear Discriminate Analysis (LDA) and the sort order of features. Then the selected features are used to classify the lesions. In this part, Nearest Mean, Nearest Neighbor, and Maximum Likelihood are compared. The results are then used to determine the best combination of methods to use in a CAD system.
590 $a School code: 0132.
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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773 0 $t Masters Abstracts International $g 45-04.
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