Results 91 to 100 of about 203,616 (377)

Effect of an organised screening program on socioeconomic inequalities in mammography practice, knowledge and attitudes

open access: yesInternational Journal for Equity in Health, 2018
Background Breast cancer stands as the leading cause of cancer related mortality in women worldwide. Mammography screening has the potential to improve prognosis by reducing stage at diagnosis.
A. Relecom, B. Arzel, T. Perneger
doaj   +1 more source

Changing Attitude, Subjective Norm, Perceived Behavioral Control, Mammography Self-Efficacy Regarding Breast Cancer Screening: The Effect Of An Educational Intervention In Women Aged 40 To 60 Years [PDF]

open access: yesمطالعات زن و خانواده, 2019
Breast cancer stands as the leading cause of cancer related mortality in women. Mammography screening can improve prevention and early detection of breast cancer. increasing of rates of mammography screening includes different variables.
reyhane sheykhan   +2 more
doaj   +1 more source

Initial results of in vivo non-invasive cancer imaging in the human breast using near-infrared photoacoustics [PDF]

open access: yes, 2007
Near-infrared photoacoustic images of regions-of-interest in 4 of the 5 cases of patients with symptomatic breasts reveal higher intensity regions which we attribute to vascular distribution associated with cancer.
Engh, Frank M. van den   +6 more
core   +3 more sources

Effect of three decades of screening mammography on breast-cancer incidence.

open access: yesNew England Journal of Medicine, 2012
BACKGROUND To reduce mortality, screening must detect life-threatening disease at an earlier, more curable stage. Effective cancer-screening programs therefore both increase the incidence of cancer detected at an early stage and decrease the incidence of
A. Bleyer, H. G. Welch
semanticscholar   +1 more source

Probing the Stability of Convolution Neural Networks and Support Vector Machines With Transmission Low Wavenumber Raman Spectroscopic Data

open access: yesJournal of Raman Spectroscopy, EarlyView.
No spectral dataset is perfect, but how severely will imperfection cost you? This study finds that CNNs are more robust against spectral errors than SVMs, particularly with data that exhibits day‐to‐day calibration‐type errors. However, when no artefacts are present, the SVM produces the best model.
Mitchell Chalmers   +3 more
wiley   +1 more source

Technology characterization of digital mammography in Portugal: project implementation progress

open access: yesSaúde & Tecnologia, 2015
Introduction – Mammography is the gold standard for screening and imaging diagnosis of breast disease. It is the imaging modality recommended by screening programs in various countries in Europe and the United States.
Cláudia Reis   +4 more
doaj   +1 more source

Mammography facilities serving vulnerable women have longer follow-up times. [PDF]

open access: yes, 2019
ObjectiveTo investigate mammography facilities' follow-up times, population vulnerability, system-based processes, and association with cancer stage at diagnosis.Data sourcesProspectively collected from San Francisco Mammography Registry (SFMR) 2005-2011,
Kaplan, Celia   +3 more
core  

Evaluation of four learning collaboratives for improving diagnostic excellence in radiology

open access: yesLearning Health Systems, EarlyView.
Abstract Introduction Learning collaboratives are frequently used within healthcare to facilitate practice improvement through collaboration among clinical teams across multiple organizations. The aim of this study was to use the Agency for Healthcare Research and Quality (AHRQ) collaborative taxonomy to identify collaborative elements that influence ...
Laura M. Holdsworth   +6 more
wiley   +1 more source

Characterizing the imaging environment for supine breast MRI

open access: yesMagnetic Resonance in Medicine, EarlyView.
Abstract Purpose Supine breast MRI has the potential to improve over standard prone breast magnetic resonance imaging (MRI) in terms of efficiency and image quality, image alignment with diagnostic and treatment procedures, and overall accessibility. This study aims to characterize potential technical challenges of imaging in the supine position: (i ...
Judith Zimmermann   +5 more
wiley   +1 more source

Optimized reconstruction of undersampled Dixon sequences using new memory‐efficient unrolled deep neural networks: HalfVarNet and HalfDIRCN

open access: yesMagnetic Resonance in Medicine, EarlyView.
Abstract Purpose Fat fraction (FF) quantification in individual muscles using quantitative MRI is of major importance for monitoring disease progression and assessing disease severity in neuromuscular diseases. Undersampling of MRI acquisitions is commonly used to reduce scanning time. The present paper introduces novel unrolled neural networks for the
Sandra Martin   +6 more
wiley   +1 more source

Home - About - Disclaimer - Privacy