Results 1 to 10 of about 197,219 (359)

Unlocking insights: exploring mammography beliefs among Teshie community mothers - a qualitative exploratory descriptive study. [PDF]

BMJ Open
Background Breast cancer is a global concern, especially for women of African descent, with rising cases in Ghana. While awareness and diagnostic screening have improved, studies in Ghana and many African countries have prioritised breast self ...
Osei EA, Watson-Quartey L, Kappiah JB, Attafuah PYA, Odonkor R, Toure HA, Bressey NS, Sarpong C.   +7 more
europepmc   +2 more sources

Perceived Racial Discrimination and Nonadherence to Screening Mammography

, 2007
Objective. We examined whether African American women were as likely as White women to receive the results of a recent mammogram and to self-report results that matched the mammography radiology report (i.e., were adequately communicated). We also sought
Dailey, Amy B., Holford, Theodore R., Jones, Beth A., Kasl, Stanislav V.   +3 more
core  

Focal Spot, Summer/Fall 2005 [PDF]

, 2005
https://digitalcommons.wustl.edu/focal_spot_archives/1100/thumbnail ...

core   +1 more source

Breast MR imaging in mammographically benign-appearing breast lesions [PDF]

, 2012
Breast cancer is the most common malignancy in women. The most common pathologic subtypes of breast cancer originate in the terminal duct lobular unit in either the ducts (ductal carcinoma) or lobules (lobular carcinoma).
Vassallo, Pierre
core  

Predicting Nonadherence Behavior Towards Mammography Screening Guidelines [PDF]

, 2016
The goal of this research is to examine factors associated with nonadherence behavior toward mammography screening among U.S. women. The 2014 Behavioral Risk Factor Surveillance System (BRFSS) survey data was used for this study, allowing the model to ...
Trussell, Brian L.
core   +2 more sources

Automatic Labeling of Special Diagnostic Mammography Views from Images and DICOM Headers. [PDF]

, 2019
Applying state-of-the-art machine learning techniques to medical images requires a thorough selection and normalization of input data. One of such steps in digital mammography screening for breast cancer is the labeling and removal of special diagnostic ...
Franc, Benjamin, Hadley, Dexter, Harnish, Roy, Kawczynski, Michael, Lituiev, Dmytro S, Norgeot, Beau, Panahiazar, Maryam, Seo, Youngho, Trivedi, Hari   +8 more
core   +1 more source

A Computer Aided Detection system for mammographic images implemented on a GRID infrastructure

, 2003
The use of an automatic system for the analysis of mammographic images has proven to be very useful to radiologists in the investigation of breast cancer, especially in the framework of mammographic-screening programs.
Bottigli, U., Cerello, P., Delogu, P., Fantacci, M. E., Fauci, F., Forni, G., Golosio, B., Indovina, P. L., Lauria, A., Magro, R., Masala, G. L., Oliva, P., Palmiero, R., Raso, G., Retico, A., Stefanini, A., Stumbo, S., Tangaro, S., Torres, E. Lopez   +18 more
core  

Barriers and facilitators of the implementation of mammography screening in the Brazilian public health system: scoping review. [PDF]

BMC Public Health
Sala DCP, Tanaka OY, Luz RA, Balsanelli AP, Venancio SI, Louvison MCP, Baumann AA.   +6 more
europepmc   +1 more source

Identifying breast cancer risk factors and evaluating biennial mammography screening efficacy using big data analysis in Taiwan. [PDF]

Sci Rep
Huang CC, Lu TP, Wang YJ, Chen BF, Yang HT, Chang WP, Tseng LM.   +6 more
europepmc   +1 more source

Re: Factors Influencing Patient Confidence in Screening Mammography. [PDF]

J Am Board Fam Med
Castellanos S, Olarte Bermúdez LM, Romero Enciso JA, Palazuelos Jimenez GI.   +3 more
europepmc   +1 more source