Results 51 to 60 of about 77,670 (220)
Deep Learning-based Mammogram Classification for Breast Cancer
International Journal of Intelligent Systems and Applications in Engineering, 2020 : Deep Learning (DL) is a rising field of researches in last decade by exposing a hybrid analysis procedure including advanced level image processing and many efficient supervised classifiers.
Gokhan Altan
semanticscholar +1 more source
Elicitation and representation of expert knowledge for computer aided diagnosis in mammography [PDF]
, 2004 To study how professional radiologists describe, interpret and make decisions about micro-calcifications in mammograms. The purpose was to develop a model of the radiologists' decision making for use in CADMIUM II, a computerized aid for mammogram ...
Alberdi, E., Lee, R., Taylor, P.
core +1 more source
Barriers to Mammograms Among Women Who are Homeless [PDF]
, 2007 Purpose: The purpose of the study was to identify barriers to mammogram screening among women who are homeless. Knowing the barriers to mammogram screening will be useful to advanced practice nurses for it provides insight to understanding the perceived ...
Ramirez, Lucinda M.
core +1 more source
Evaluation of breast screening strategies in a high risk breast and ovarian cancer clinic
Gynecologic Oncology Reports, 2020 Recent data suggest that BRCA mutation carriers younger than 40 may not benefit from mammography in addition to MRI. Our objective was to evaluate screening modalities utilized in a high-risk population.
Anne T. Knisely +5 more
doaj
Time to follow‐up of an abnormal mammogram in women with diabetes: a population‐based study
Cancer Medicine, 2016 Women with diabetes have a higher breast cancer incidence and mortality. They are also significantly less likely to undergo screening mammography and present with more advanced stage than women without diabetes.
Syed Yaser Habeeb +5 more
doaj +1 more source
Isolated eosinophilic infiltration of the breast
Indian Journal of Radiology and Imaging, 2016 We report the eighth case of eosinophilic mastitis and the first one without an association with peripheral eosinophilia or systemic involvement. A 51-year-old diabetic presented with a painful right breast lump.
Anushri Parakh +3 more
doaj +1 more source
CAAI Transactions on Intelligence Technology, 2019 In this work, the authors develop a working software-based approach named ‘linearly quantile separated histogram equalisation-grey relational analysis’ for mammogram image (MI).
Bhupendra Gupta +2 more
semanticscholar +1 more source
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
Journal of the Egyptian Public Health Association, 2019 Background Breast diseases in women, whether benign or malignant, are very commonly encountered. The breast is the commonest site for female cancer in Egypt (38.8%). Breast cancer screening can reduce morbidity and mortality and improve the survival rate
Ayat F. Manzour, Dina A. Gamal Eldin
doaj +1 more source
Classification of Whole Mammogram and Tomosynthesis Images Using Deep Convolutional Neural Networks
IEEE Transactions on Nanobioscience, 2018 Mammography is the most popular technology used for the early detection of breast cancer. Manual classification of mammogram images is a hard task because of the variability of the tumor.
Xiaofei Zhang +6 more
semanticscholar +1 more source