Results 31 to 40 of about 74,998 (273)

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

open access: yesAdvanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane   +4 more
wiley   +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

Revisiting the Effects of Organized Mammography Programs on Inequalities in Breast Screening Uptake: A Multilevel Analysis of Nationwide Data From 1997 to 2017

open access: yesFrontiers in Public Health, 2022
This study revisits the effects of mammography screening programs on inequalities in breast screening uptake in Switzerland. The progressive introduction of regional mammography programs by 12 out of the 26 Swiss cantons (regions) since 1999 offers an ...
Vladimir Jolidon   +7 more
doaj   +1 more source

Mammography Equipment

open access: yes, 2022
Mammography is one of the most technically demanding examinations in radiography. The requirements of imaging very small calcifications at the same time as low-contrast masses, at very low doses suitable for screening, have placed great demands on this imaging technology.
Sechopoulos, Ioannis, Reis, Cláudia
openaire   +2 more sources

Learning Anatomy With Radiology: A Systematic Review

open access: yesClinical Anatomy, EarlyView.
ABSTRACT Radiology education is critical for medical students' anatomical competence and clinical readiness. However, it remains insufficiently integrated in medical curricula as residency program directors describe interns' basic image interpretation as unsatisfactory.
Madison Alexander   +2 more
wiley   +1 more source

Diagnostic performance of mammography and magnetic resonance imaging for evaluating mammographically visible breast masses

open access: yesJournal of International Medical Research, 2021
Objective We compared the diagnostic values of mammography and magnetic resonance imaging (MRI) for evaluating breast masses. Methods We retrospectively analyzed mammography, MRI, and histopathological data for 377 patients with breast masses on ...
Xueli Zhu   +4 more
doaj   +1 more source

Micropatterned Scintillator Films With Engineered Cs3Cu2I5/CsCu2I3 Nanocrystals for Low‐Crosstalk X‐Ray Imaging at Clinically Relevant Tube Voltage

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Polyethylene glycol‐coated, lead‐free CsCu2I3 nanocrystal scintillator films achieve superior X‐ray imaging resolution over unpatterned films at 80 kVp by reducing crosstalk through lithographic micropatterning and optimized thickness control. The spatial resolution of X‐ray imaging is often limited by radioluminescence scattering, which is exacerbated
Atanu Jana   +6 more
wiley   +1 more source

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

Indicators to identify cancer screening providers with suboptimal case detection: A scoping review

open access: yesInternational Journal of Cancer, EarlyView.
What's New? Quality control of cancer screening programs is essential to maintaining high public health standards. Here, the authors reviewed monitoring of case detection in cervical and colorectal cancer screening programs in Europe, and evaluated its effectiveness. They analysed 20 different measures used for this purpose and showed that many of them
Jiayao Lei   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy