Results 51 to 60 of about 10,734 (212)

Diagnostic value of digital breast tomosynthesis in suspicious lesions detected in screening mammogram

The Egyptian Journal of Radiology and Nuclear Medicine
Background Digital mammography (DM) serves as the primary breast imaging technique for early cancer detection and diagnosis. However, it faces certain limitations, particularly in imaging dense breasts.
Waleed Abd El-Fattah Mousa, Dalia Ayman Abd El-Raof Tolba, Mahmoud Mohamed Moawad   +2 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, Downes, D, Elarnaut, F, Evans, JPO, Godber, SX, Rogers, KD   +5 more
core   +1 more source

AI and Big Data in Oncology: A Physician‐Centered Perspective on Emerging Clinical and Research Applications

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, Qingyao Shang, Jun Li, Shuna Yao, Meishuo Ouyang, Yu Wang, Sheng Luo, Quchang Ouyang   +7 more
wiley   +1 more source

Tomosynthesis for diagnosis of musculoskeletal injuries and diseases: a systematic review

Гений oртопедии, 2020
Digital tomosynthesis is a radiological method having an intermediate position between x-ray and computed tomography (CT). Benefits with the imaging technology include improved image quality, post-processing (reconstructed to 1 mm thick slices), minimal
Sergey P. Morozov, Anton V. Vladzimirsky, Aleksey V. Basarboliev, Vladimir I. Baryshov, Olesya A. Agafonova   +4 more
doaj   +1 more source

Impact of common artefacts on mass visibility in contrast‐enhanced mammography: A virtual imaging trial

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, Lesley Cockmartin, Liesbeth Vancoillie, Rodrigo T Massera, Nicholas Marshall, Hilde Bosmans   +5 more
wiley   +1 more source

Comparing the diagnostic efficacy of digital breast tomosynthesis with full-field digital mammography using BI-RADS scoring

The Egyptian Journal of Radiology and Nuclear Medicine, 2021
Background Mammography has been the mainstay for the detection of breast cancer over decades. It has gradually advanced from screen film to full-field digital mammography.
Rana M. Naeim, Rania A. Marouf, Merhan A. Nasr, Marwa E. Abd El-Rahman   +3 more
doaj   +1 more source

European Code Against Cancer, 5th edition – organised cancer screening programmes

Molecular Oncology, Volume 20, Issue 1, Page 134-153, January 2026.
ECAC5 updates cancer prevention recommendations on cancer screening. Individuals are recommended to take part in organised screening programmes for colorectal, breast, cervical and lung cancer, as recommended in their country. Policymakers should aim to implement sustainable, organised screening programmes for these cancer types to facilitate their ...
Esther Toes‐Zoutendijk, Marc Arbyn, Anssi Auvinen, David Baldwin, Xavier Castells, Andrea DeCensi, Solveig Hofvind, Urska Ivanus, Carlo Senore, Mangesh Thorat, Carlijn van der Aalst, Ana Carolina Pereira Nunes Pinto, Javier Bracchiglione, Ariadna Feliu, Hajo Zeeb, Erica D'Souza, David Ritchie, Carolina Espina, Andre L. Carvalho, Iris Lansdorp‐Vogelaar   +19 more
wiley   +1 more source

3D Anisotropic Hybrid Network: Transferring Convolutional Features from 2D Images to 3D Anisotropic Volumes

, 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, Comaniciu, Dorin, Grbic, Sasa, Jerebko, Anna, Liu, Siqi, Mertelmeier, Thomas, Pauly, Olivier, Wicklein, Julia, Xu, Daguang, Zhou, S. Kevin   +9 more
core   +1 more source

Scatter reduction for grid-less mammography using the convolution-based image post-processing technique [PDF]

, 2017
Mammography examinations are highly affected by scattered radiation, as it degrades the quality of the image and complicates the diagnosis process.
Diaz, O., Khan, A., Marimón, E., Marsden, P.A., Nait-Charif, Hammadi   +4 more
core   +1 more source

Focal spot motion in digital breast tomosynthesis and its effect on spatial resolution

Journal of Applied Clinical Medical Physics, Volume 27, Issue 1, January 2026.
Abstract Background Digital breast tomosynthesis (DBT) has become standard practice; however, the acquisition method of DBT between vendors is far from standardized. Currently, there are three commercially available DBT tube motion techniques: (1) continuous motion, (2) step‐and‐shoot, and (3) continuous motion with flying focal spot.
Colin J. Schaeffer, Katie W. Hulme, Ashley E. Rubinstein   +2 more
wiley   +1 more source