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...
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| Format: | Thesis Book |
| Language: | English |
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[Place of publication not identified] :
[publisher not identified] ;
2000.
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| 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 |
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| Call Number: |
2000 Dissertation B33 |
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| Call Number | Status | Get It |
| 2000 Dissertation B33 | Available | |
Available Online
| Call Number: |
2000 Dissertation B33 |
|
|---|---|---|
| Call Number | Status | Get It |
| 2000 Dissertation B33 | Available | |