Results 31 to 40 of about 77,353 (272)

Computer aids and human second reading as interventions in screening mammography: two systematic reviews to compare effects on cancer detection and recall rate [PDF]

open access: yes, 2008
Background: There are two competing methods for improving the accuracy of a radiologist interpreting screening mammograms: computer aids (CAD) or independent second reading. Methods: Bibliographic databases were searched for clinical trials.
Paul Taylor   +3 more
core   +1 more source

Factors associated with mammography use: A side‐by‐side comparison of results from two national surveys

open access: yesCancer Medicine, 2020
Background Mammography use is affected by multiple factors that may change as public health interventions are implemented. We examined two nationally representative, population‐based surveys to seek consensus and identify inconsistencies in factors ...
Lihua Li   +8 more
doaj   +1 more source

Diagnosis of Breast Cancer Using Radiomics Models Built Based on Dynamic Contrast Enhanced MRI Combined With Mammography

open access: yesFrontiers in Oncology, 2021
ObjectiveTo build radiomics models using features extracted from DCE-MRI and mammography for diagnosis of breast cancer.Materials and Methods266 patients receiving MRI and mammography, who had well-enhanced lesions on MRI and histologically confirmed ...
You-Fan Zhao   +12 more
doaj   +1 more source

Dataset of breast mammography images with masses

open access: yesData in Brief, 2020
Among many cancers, breast cancer is the second most common cause of death in women. Early detection and early treatment reduce breast cancer mortality.
Mei-Ling Huang, Ting-Yu Lin
doaj   +1 more source

A comparative study of the diagnostic value of contrast-enhanced breast MR imaging and mammography on patients with BI-RADS 3-5 microcalcifications. [PDF]

open access: yesPLoS ONE, 2014
OBJECTIVE: To retrospectively investigate the diagnostic value of breast MRI in patients with BI-RADS 3-5 microcalcifications in mammography. METHODS: Eighty-four patients with BI-RADS 3-5 microcalcifications on mammography underwent breast MR exams ...
Erni Li   +4 more
doaj   +1 more source

Breast compression techniques in screening mammography – A Maltese evaluation project [PDF]

open access: yes, 2018
Introduction: In screening mammography, the radiographer should be responsible for providing mammograms of high diagnostic value, possibly without subjecting clients to a painful experience.
Naylor, Sarah   +4 more
core   +1 more source

Circular Economy in the Healthcare Industry: Developing a Circularity Assessment Tool for Complex Medical Devices

open access: yesBusiness Strategy and the Environment, EarlyView.
ABSTRACT As the circular economy transition gains traction in the healthcare sector, extending the lifespan of complex medical devices has become a key priority, given their high cost and the challenges associated with their technological sophistication.
Tetiana Shevchenko   +7 more
wiley   +1 more source

Physical and technical aspects of quality assurance in mammography in the Republic of Srpska [PDF]

open access: yesNuclear Technology and Radiation Protection, 2011
Breast cancer is the most frequent malignant neoplasm affecting the female population. In order to reduce its morbidity and mortality rate, a mammography screening campaign has been established in both entities of Bosnia and Herzegovina. In this paper,
Ciraj-Bjelac Olivera F.   +3 more
doaj   +1 more source

Mammography screening in Greece: An exploratory survey of women's views, experiences and behaviours [PDF]

open access: yes, 2012
Background: Internationally, breast cancer comprises 29% of all cancer incidences. In Greece, 1,500-1,800women die annually from breast cancer out of the 4,000 who are affected.
Kalsta, K   +7 more
core  

AI‐based localization of the epileptogenic zone using intracranial EEG

open access: yesEpilepsia Open, EarlyView.
Abstract Artificial intelligence (AI) is rapidly transforming our lives. Machine learning (ML) enables computers to learn from data and make decisions without explicit instructions. Deep learning (DL), a subset of ML, uses multiple layers of neural networks to recognize complex patterns in large datasets through end‐to‐end learning.
Atsuro Daida   +5 more
wiley   +1 more source

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