Classification of mass abnormalities based on denseness and irregularity texture features /

A mammogram image is abundant in textural information. In this research, it is hypothesized that texture analysis, based on radiographic denseness and irregularity of breast cancer, improves the classification of mass abnormalities into malignant or benign diagnostic categories. To test this hypothe...

Full description

Bibliographic Details
Main Author: Baeg, Sooncheol
Format: Thesis Book
Language:English
Published: [Place of publication not identified] : [publisher not identified] ; 2000.
Subjects:
Online Access:http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=728415691&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQD

Internet

http://proxy.library.tamu.edu/login?url=http://proquest.umi.com/pqdweb?did=728415691&sid=1&Fmt=2&clientId=2945&RQT=309&VName=PQD

Cushing: Theses & Dissertations Microforms (Does not check out)

Holdings details from Cushing: Theses & Dissertations Microforms (Does not check out)
Call Number: 2000 Dissertation B33
 
Call Number Status Get It
2000 Dissertation B33 Available

Available Online

Holdings details from Available Online
Call Number: 2000 Dissertation B33
 
Call Number Status Get It
2000 Dissertation B33 Available