Global ETD Search
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Showing 1 to 4 of 4 for “"Breast--Radiography"”.
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Automated evaluation of radiodensities in a digitized mammogram database using local contrast estimation
… one of the strongest risk factors for developing breast cancer and there exists an urgent need to develop automated methods for predicting this marker. Previous attempts for automatically identifying and quantifying radiodense tissue in digitized mammograms have fallen short of the ideal. Many …
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Patterns of Use Among Mammography, Breast Self-examination and Clinical Breast Examination
… a group of women who already practice early breast cancer detection as evidenced by them already receiving mammograms. This study described frequency patterns of routine clinical breast examination (CBE) and performance of breast self-examination (BSE). Description was given to motivators and …
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Automated segmentation of radiodense tissue in digitized mammograms using a constrained Neyman-Pearson classifier
<p>Breast cancer is the second leading cause of cancer related mortality among American women. Mammography screening has emerged as a reliable non-invasive technique for early detection of breast cancer. The radiographic appearance of the female breast consists of radiolucent (dark) regions and …
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Spatially varying threshold models for the automated segmentation of radiodense tissue in digitized mammograms
… has been correlated to an increased risk of breast cancer. This thesis presents an automated method to quantify the amount of radiodense tissue found in a digitized mammogram. The algorithm employs a radial basis function neural network in order to segment the breast tissue region from the …