Results 61 to 70 of about 13,315 (215)
, 2017 While deep convolutional neural networks (CNN) have been successfully applied for 2D image analysis, it is still challenging to apply them to 3D anisotropic volumes, especially when the within-slice resolution is much higher than the between-slice ...
Cai, Weidong +9 more
core +1 more source
An Analysis of Acquisition Dose in Male Mammography
Journal of Medical Radiation Sciences, Volume 73, Issue 1, Page 52-59, March 2026.This retrospective study analysed 266 male breast imaging acquisitions across two Australian hospital sites, comparing radiation doses from full‐field digital mammography (FFDM) and digital breast tomosynthesis (DBT). DBT doses were significantly higher than FFDM, while FFDM glandular doses were lower than previously reported male and female cohorts ...
Zechary Ng +3 more
wiley +1 more source
Review of the evidence on the use of arbitration or consensus within breast screening:A systematic scoping review [PDF]
, 2017 ObjectivesA systematic scoping review was undertaken to establish the evidence base on arbitration and consensus in mammography reporting.Database searches were supplemented with hand searching of peer-reviewed journals, citation tracking, key author ...
Hackney, Lisa +3 more
core +1 more source
The Egyptian Journal of Radiology and Nuclear MedicineBackground The presence of lymphovascular invasion (LVI) in cases with breast cancer is considered a bad prognostic sign. The purpose of this study is to compare the efficacy of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) versus ...
Fatma Hefida +3 more
doaj +1 more source
Cancer Innovation, Volume 5, Issue 1, February 2026.Artificial intelligence and big data platforms are transforming oncology clinical practice. This review proposes a physician‐centered framework to integrate AI tools with real‐world data, supporting more precise diagnosis, individualized treatment, and improved patient outcomes.
Binliang Liu +7 more
wiley +1 more source
Conveyor X-Ray Tomosynthesis Imaging With Optimized Structured Sequential Illumination
IEEE Photonics Journal, 2020 Compressive X-ray tomosynthesis is a computational imaging technique used to reconstruct three-dimensional objects from a set of projection measurements, where the masks are used to modulate the structured illumination to reduce the radiation dose while ...
Xu Ma +6 more
doaj +1 more source
Sporadic absorption tomography using a conical shell X-ray beam [PDF]
, 2017 We demonstrate tomography by measuring a sporadic sequence of ring shaped projections collected during a translational scan. We show that projections using 10% sampling may be used to construct optical sections with peak signal-to-noise ratio (PSNR) and ...
Dicken, AJ +5 more
core +1 more source
Medical Physics, Volume 53, Issue 2, February 2026.Abstract Background Artefacts in contrast‐enhanced mammography (CEM) can compromise diagnostic image quality. These artefacts may obscure clinically relevant findings or mimic pathological features, potentially leading to misinterpretation. Purpose A virtual imaging trial technique was used to quantify the impact of breast‐in‐breast and motion ...
Katrien Houbrechts +5 more
wiley +1 more source
Indian Journal of Radiology and Imaging, 2018 Introduction: Breast cancer is one of the leading cancers in females worldwide, and its incidence has been rising at an exponential pace in the last 10 years even in India. Mammography has been the mainstay for detection of breast cancer over decades and
Divya Singla +5 more
doaj +1 more source
Do automated breast ultrasound and tomosynthesis have an effective role in dense breast evaluation?
The Egyptian Journal of Radiology and Nuclear Medicine, 2021 Background Mammography plays a great role in reducing breast cancer mortality as it is the standard method of breast imaging and screening. But the accuracy of mammography performance reduces in cancer detection in women with dense breast due to the ...
Engy A. Ali, Fatma Saeed, Lamiaa Adel
doaj +1 more source