PLoS ONEBackgroundAccess to breast screening mammogram services decreased during the COVID-19 pandemic. Our objectives were to estimate: 1) the COVID-19 affected period, 2) the proportion of pandemic-associated missed or delayed screening encounters, and 3 ...
Kimberly J Johnson +3 more
doaj +1 more source
Adhesion of a group of target women to breast cancer screening: an evaluation of the possible factors involved in the choice to be screened [PDF]
World Cancer Research JournalObjective: To understand the adhesion rate and the features of women adherent to breast cancer (BC) screening test, an essential secondary prevention tool in early diagnosis and mortality reduction. Participants and Methods: We evaluated the adhesion of
A. Facciolà +6 more
doaj +1 more source
Three-Class Mammogram Classification Based on Descriptive CNN Features
BioMed Research International, 2017 In this paper, a novel classification technique for large data set of mammograms using a deep learning method is proposed. The proposed model targets a three-class classification study (normal, malignant, and benign cases). In our model we have presented
M. Jadoon +4 more
semanticscholar +1 more source
Sociodemographic Determinants in Breast Cancer Screening among Uninsured Women of West Texas
Medicina, 2022 Background and Objectives: Early detection through appropriate screening is key to curing breast cancer. The Access to Breast Care for West Texas (ABC4WT) program offers no-cost mammography to underserved women in West Texas. The U.S.
Brooke Jensen +2 more
doaj +1 more source
DeepMiner: Discovering Interpretable Representations for Mammogram Classification and Explanation [PDF]
Issue 3.4, Fall 2021, 2018 We propose DeepMiner, a framework to discover interpretable representations in deep neural networks and to build explanations for medical predictions. By probing convolutional neural networks (CNNs) trained to classify cancer in mammograms, we show that ...
Jimmy Wu +6 more
semanticscholar +1 more source
Addressing Barriers to Breast Cancer Screening: Where to Intervene to Increase Mammogram Completion Rates [PDF]
, 2017 Methods: Study sought to determine if an intervention would aid in increasing mammogram screening rates in the Jefferson Family Medicine Associates practice.https://jdc.jefferson.edu/patientsafetyposters/1061/thumbnail ...
LaPorta, MD, Jennifer +9 more
core +1 more source
An investigation of Bayes algorithm and neural networks for identifying the breast cancer
Indian Journal of Medical and Paediatric Oncology, 2017 Context: Breast cancer is a biggest threat to women. X-ray mammography is the most effective method for early detection and screening of breast cancer.
E Udayakumar, S Santhi, P Vetrivelan
doaj +1 more source
Grid Databases for Shared Image Analysis in the MammoGrid Project
, 2004 The MammoGrid project aims to prove that Grid infrastructures can be used for collaborative clinical analysis of database-resident but geographically distributed medical images.
Amendolia, S. R. +9 more
core +1 more source
Asian Pacific Journal of Cancer Prevention, 2019 Background: Early detection of breast cancer is essential in improving overall women’s health. The researchers sought to develop a comprehensive measure that combined the basic components of the health belief model (HBM) with a focus on breast self ...
Norfariha Che Mohamed +2 more
semanticscholar +1 more source
Development of method of matched morphological filtering of biomedical signals and images [PDF]
, 2019 Formalized approach to the analysis of biomedical signals and images with locally concentrated features is developed on the basis of matched morphological filtering taking into account the useful signal models that allowed generalizing the existing ...
Filatova, A. E. +3 more
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