Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 37 for “"mammograms"”.
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Classification of Dense Masses in Mammograms
This dissertation material provided in this work details the techniques that are developed to aid in the Classification of tumors, non-tumors, and dense masses in a Mammogram, certain characteristics such as texture in a mammographic image are used to identify the regions of interest as a part of …
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Towards an independent observer of screening mammograms: detection of calcifications
Contains fulltext : 200483.pdf (Publisher’s version ) (Open Access)
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Detection of breast cancer microcalcifications in digitized mammograms. Developing segmentation and classification techniques for the processing of MIAS database mammograms based on the Wavelet Decomposition Transform and Support Vector Machines
… is made, the better treatment works. Digital mammograms are dealt with by Computer Aided Diagnosis (CAD) systems that can detect and analyze abnormalities in a mammogram. The purpose of this study is to investigate how to categories cropped regions of interest (ROI) from digital mammogram …
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Detection of breast cancer microcalcifications in digitized mammograms. Developing segmentation and classification techniques for the processing of MIAS database mammograms based on the Wavelet Decomposition Transform and Support Vector Machines.
… is made, the better treatment works. Digital mammograms are dealt with by Computer Aided Diagnosis (CAD) systems that can detect and analyze abnormalities in a mammogram. The purpose of this study is to investigate how to categories cropped regions of interest (ROI) from digital mammogram …
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Automated segmentation of radiodense tissue in digitized mammograms using a constrained Neyman-Pearson classifier
… for segmenting radiodense indications in mammograms. Both the mammographic image and the threshold are modeled as Gaussian random variables and a constrained Neyman-Pearson criteria has been developed for segmenting radiodense tissue. Promising results have been obtained using the proposed …
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Spatially varying threshold models for the automated segmentation of radiodense tissue in digitized mammograms
… exercising the algorithm on two separate sets of mammograms - one obtained from Brigham Women's Hospital, Harvard Medical School and the other set obtained from Fox Chase Cancer Center and digitized at Rowan University. The results of the algorithm compare favorably with a previously established …
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ARTIFICIAL INTELLIGENCE FOR DETECTION AND QUANTIFICATION OF BREAST ARTERIAL CALCIFICATIONS ON MAMMOGRAMS AS A BIOMARKER OF CARDIOVASCULAR DISEASE
… parallel line opacities on about 13% of routine mammograms. They have been shown to be associated with an elevated hazard of cardiovascular adverse events, more accurate than other traditional risk factors in asymptomatic middle-aged women, and also independent of them, indicating the different …
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Automated evaluation of radiodensities in a digitized mammogram database using local contrast estimation
… and quantifying radiodense tissue in digitized mammograms have fallen short of the ideal. Many algorithms require significant heuristic parameters to be evaluated and set for predicting radiodensity. Many others have not demonstrated the efficacy of their techniques with a sufficient large and …
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Breast Cancer Referral And Screening Rates In A Federally Qualified Health Center: Implementing The Point Of Care Integrated Breast Cancer Screening Model
… <p>were referred and 2444 women (42%) completed mammograms versus the conventional</p> <p>group where 1409 (37%) received referrals and 581 (16%) completed mammograms.</p> <p>These results support the usefulness of PCISM for improving mammography screenings</p> <p>in this setting.</p>
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Effects of Acculturation on Mammography Utilization among Korean American Women
… group had the highest rate (57.1%) of recent mammograms while the Marginality group had the lowest rate (26.1%). The Bicultural group had the highest rate (21.7%) of regular mammograms while the Korean identity and Marginality groups demonstrated lower rates. Logistic Regressions demonstrated …
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An Evaluation of Mammography Rates for Women, 50-74 Years Old, at the San Francisco Department of Public Health
… are health disparities among women who receive mammograms and how breast cancer affects them. African American women have the highest mortality rates and women of color are more likely to be diagnosed at a later stage, when treatment options are limited (National Cancer Institute, 2014). There …
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Patterns of Use Among Mammography, Breast Self-examination and Clinical Breast Examination
… 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 demographic breakdown as to reasons why or why not these women …
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Economic Analysis Of Preventive Care Utilization Among Older Adults
… the effects of covering an IPPE on the use of mammograms, breast self-exams, Pap smears, prostate cancer screenings, cholesterol screenings, and flu vaccines among beneficiaries new to Medicare Part B. Using data from the 1996-2008 Health and Retirement Study (HRS) and the RAND HRS, I estimate …
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Optimised Mammogram Displays for Improved Breast Cancer Detection
… practice, radiologists typically view mammograms in a symmetric, side-by-side, configuration in the belief that abnormalities will be made salient because they break the perceived symmetry. The literature on the use of symmetry as an aid to signal detection is limited and this thesis …
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Socio-Economic and Demographic Predictors of Mammography and Pap Smear Screening in US Women
… time. The results indicate that utilization of mammograms and Pap smears overall has increased, but many disparities still exist amongst groups who actually receive the preventative screenings.
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Improving breast cancer risk assessment with image-based deep learning models
… from full images, specifically breast MRIs and mammograms. Our image-based deep learning models out-perform existing breast cancer risk models and our own risk-factor-only models. These results demonstrate that full images contain subtle but significant indicators of risk not captured by …
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A New Breast Cancer Image Classifier Using Gaussian Mixture Model Based on Histogram and Enhanced Roughness Index
… and irregularity index was applied on the mammograms. Through extensive experiments, the results show that this GMM based method is effective and accurate to perform breast tumor image into different classes. Also with ERI as input, the more accurate performance can be obtained.</p>
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Sense and sense-ability : the artful science of hands-on medicine
… scans, MRI scans, ultrasounds, echocardiograms, mammograms, and more. In some cases, these devices replaced the physical exam. But in areas of the world where technology is unavailable, and even in places where it exists, many physicians and healthcare professionals cannot or will not to cede …
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Agreement Webs
… al, Arch. Intern. Med.,2003) where 148 patient mammograms are each assessed by 110 qualified clinicians. </p>
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Uma análise de prevenção do câncer de mama no Brasil: evidências de acordo com o suplemento de saúde da PNAD 2008
… of the search for prevention by performing mammograms and breast exams in Brazil. From the information of the suplemento de saúde da Pesquisa Nacional por Amostra de Domicílios of 2008 a sample that includes only women over age 40 was built. For meeting the proposed goal, makes use of the …
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