نتایج جستجو برای: filter mammograms

تعداد نتایج: 125500  

Journal: :Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology 2010
Jennifer M Gierisch Jo Anne Earp Noel T Brewer Barbara K Rimer

BACKGROUND Regular adherence to screening mammography, also known as maintenance of mammography, reduces breast cancer morbidity and mortality. However, mammography maintenance is uncommon and little is known about why women do not maintain regular screening schedules. We investigated longitudinal predictors of women not maintaining adherence. METHODS Participants were insured women enrolled ...

Journal: :Radiology 1986
R L Smathers E Bush J Drace M Stevens F G Sommer B W Brown B Karras

Pulverized bone specks and aluminum oxide specks were measured by hand into sizes ranging from 0.2 mm to 1.0 mm and then arranged in clusters. These clusters were superimposed on a human breast tissue phantom, and xeromammograms and screen-film mammograms of the clusters were made. The screen-film mammograms were digitized using a high-resolution laser scanner and then displayed on cathode ray ...

2016
Ruffo Freitas-Junior Danielle Cristina Netto Rodrigues Rosangela da Silveira Corrêa João Emílio Peixoto Humberto Vinícius Carrijo Guimarães de Oliveira Rosemar Macedo Sousa Rahal

OBJECTIVE To estimate the coverage of opportunistic mammography screening performed via the Brazilian Sistema Único de Saúde (SUS, Unified Health Care System), at the state and regional level, in 2013. MATERIALS AND METHODS This was an ecological study in which coverage was estimated by determining the ratio between the number of mammograms performed and the expected number of mammograms amon...

Journal: :Research in Computing Science 2016

Journal: :International Journal of Complementary & Alternative Medicine 2016

Journal: :Medical physics 1998
A J Méndez P G Tahoces M J Lado M Souto J J Vidal

A computerized method to automatically detect malignant masses on digital mammograms based on bilateral subtraction to identify asymmetries between left and right breast images was developed. After the digitization, in order to align left and right mammograms the breast border and nipple were automatically detected. Images were corrected to avoid differences in brightness due to the recording p...

2011
Sheri J Hartman Shira I Dunsiger Paul B Jacobsen

This study examined the relationship of psychosocial factors to health-promoting behaviors in sisters of breast cancer patients. One hundred and twenty sisters of breast cancer patients completed questionnaires assessing response efficacy of mammography screenings, physical activity, and fruit and vegetable consumption on decreasing breast cancer risk, breast cancer worry, involvement in their ...

2000
Ronald A. Castellino

Interpretation of radiological (and other complex medical) images is challenging due to an often overwhelming amount of visual data, much of which is of no consequence and which often serves to confound the observer. In addition, there are well-recognized physiologic obstacles to visual search and recognition, which contribute to false-negative radiological interpretations. The interpretation o...

Journal: :Radiology 2002
Etta D Pisano Elodia B Cole Emily O Kistner Keith E Muller Bradley M Hemminger Mary L Brown R Eugene Johnston Cherie M Kuzmiak M Patricia Braeuning Rita I Freimanis Mary Scott Soo J A Baker Ruth Walsh

PURPOSE To compare the speed and accuracy of the interpretations of digital mammograms by radiologists by using printed-film versus soft-copy display. MATERIALS AND METHODS After being trained in interpretation of digital mammograms, eight radiologists interpreted 63 digital mammograms, all with old studies for comparison. All studies were interpreted by all readers in soft-copy and printed-f...

Journal: :IEICE Transactions 2007
Werapon Chiracharit Yajie Sun Pinit Kumhom Kosin Chamnongthai Charles F. Babbs Edward J. Delp

Automatic detection of normal mammograms, as a “first look” for breast cancer, is a new approach to computer-aided diagnosis. This approach may be limited, however, by twomain causes. The first problem is the presence of poorly separable “crossed-distributions” in which the correct classification depends upon the value of each feature. The second problem is overlap of the feature distributions ...

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