Detection of Microcalcifications Using Wavelet Techniques in Mammogram Digital Images and Development of a Software for Evaluation of Radiologist Findings
This thesis describes a method of using wavelets in the detection comparison of breast cancer among the three main races in Malaysia: Chinese, Malays, and Indians followed by a system that records and evaluates the radiologist's findings over a period of time to gauge the radiologist's...
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| Format: | Thesis |
| Language: | English English |
| Published: |
2006
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| Subjects: | |
| Online Access: | http://psasir.upm.edu.my/id/eprint/6113/1/FK_2006_22.pdf http://psasir.upm.edu.my/id/eprint/6113/ |
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| Institution: | Universiti Putra Malaysia |
| Language: | English English |
| Summary: | This thesis describes a method of using wavelets in the detection comparison
of breast cancer among the three main races in Malaysia: Chinese, Malays,
and Indians followed by a system that records and evaluates the radiologist's
findings over a period of time to gauge the radiologist's findings in
confirming breast cancer cases. A comparison was carried out among few
different wavelets to find out the best filter for detection for all three
Malaysian races' mammograms. The detection of three filters was presented
to three expert radiologists to confirm the best filter detector. As a result, the
db4 wavelet was utilized to detect microcalcifications in mammogram digital
images obtained from a Malaysian women sample. The wavelet filter's
detection evaluation was done by visual inspection to confirm the detection
results of those pixels that corresponded to microcaIcifications. Detection was counted if the wavelet detected pixels corresponded to the radiologically
identified microcalcification pixels. The findings suggest that no one race
mammograms are easier for wavelets' detections of microcalcifications and
for the radiologist confirmation. After the radiologist's detection
confirmation a new client-sewer radiologist recording and evaluation system
is designed to evaluate the findings of the radiologist over some period of
cancer detection working time. It is a system that records the findings of the
Malaysian radiologist for the presence of breast cancer in Malaysian patients
and provides a way of registering the progress of detecting breast cancer of
the radiologist by tracking certain metric values such as the sensitivity,
specificity, and Receiver Operator Curve (ROC) |
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