Results 91 to 100 of about 30,004 (256)

A Data Set and Deep Learning Algorithm for the Detection of Masses and Architectural Distortions in Digital Breast Tomosynthesis Images

JAMA Network Open, 2021
Key Points Question Can a curated, annotated, and publicly available data set of digital breast tomosynthesis (DBT) volumes be created for the development and validation of breast cancer computer-aided detection algorithms?
M. Buda, Ashirbani Saha, R. Walsh, S. Ghate, Nianyi Li, Albert Swiecicki, J. Lo, M. Mazurowski   +7 more
semanticscholar   +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

Breast Cancer: Molecular Pathogenesis, Targeted Therapy, Screening, and Prevention

MedComm, Volume 7, Issue 1, January 2026.
The review manuscript examines the molecular pathogenesis, screening, prevention advances, and evolving targeted therapies in breast cancer. It highlights the integration of AI and multiomics for precision prevention and personalized treatment, pointing toward future directions in equitable cancer care.
Huijun Lei, Jinzhen Fu, Wei Gu, Hongjin Qiao, Huixue Guo, Zijian Chen, San Ming Wang, Tianhui Chen   +7 more
wiley   +1 more source

Computationally efficient x‐ray simulation framework using parameterized material attenuation models in anatomically detailed imaging

Medical Physics, Volume 53, Issue 1, January 2026.
Abstract Background Virtual clinical trials provide an efficient alternative to clinical imaging trials for evaluating imaging technologies. In x‐ray simulations, however, modeling material‐specific attenuation becomes computationally intensive as anatomical complexity and material heterogeneity in digital phantoms increase.
Martina Nassi, Mikhail Mikerov, Koen Michielsen, Ioannis Sechopoulos   +3 more
wiley   +1 more source

Diagnostic Performance of Digital Breast Tomosynthesis for Breast Suspicious Calcifications From Various Populations: A Comparison With Full-field Digital Mammography

Computational and Structural Biotechnology Journal, 2019
The diagnostic performance difference between digital breast tomosynthesis (DBT) and conventional full-field digital mammography (FFDM) for breast suspicious calcifications from various populations is unclear.
Juntao Li, Hengwei Zhang, Hui Jiang, Xuhui Guo, Yinli Zhang, Dan Qi, Jitian Guan, Zhenzhen Liu, Erxi Wu, Suxia Luo   +9 more
doaj   +1 more source

Patient, facility, and community determinants of timely follow up after abnormal screening mammograms in Appalachia: A multilevel analysis

The Journal of Rural Health, Volume 42, Issue 1, Winter 2026.
Abstract Purpose Examine the extent that community and organizational characteristics influence mammogram recall and biopsy rates in Appalachia. Methods We collected facility survey and Medicare claims (2016‐2018) data on 191 FDA‐registered breast imaging organizations serving 2.65 million women in 5 Appalachian states (KY, OH, PA, VA, and WV). Primary
Roger T. Anderson, Marianne M. Hillemeier, Jennifer A. Harvey, Fabian T. Camacho, Gloribel Bonilla, Cara B. Safon, Chris Louis   +6 more
wiley   +1 more source

Ultra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU

Journal of Biomedical Physics and Engineering, 2015
Digital Breast Tomosynthesis (DBT) is a technology that creates three dimensional (3D) images of breast tissue. Tomosynthesis mammography detects lesions that are not detectable with other imaging systems.
Arefan D, Talebpour A, Ahmadinejhad N, Kamali Asl A   +3 more
doaj  

Detecting breast cancer : 2D vs 3D imaging [PDF]

, 2017
The month of October has become synonymous with an increased awareness of breast cancer. The amount of information presented on the media about breast cancer during the month of October is frequently overwhelming and often confusing.
Vassallo, Pierre
core  

Agreement Among Breast Cancer Screening Modalities in Breast Density Assessment and Cancer Risk Prediction

International Journal of Breast Cancer, Volume 2026, Issue 1, 2026.
Background Breast density is increasingly recognized as a vital risk factor that affects early breast cancer detection. Therefore, this study was aimed at evaluating the agreement between different breast density measurements across multiple imaging modalities and identifying the best breast cancer predictor among these methods.
Areej S. Aloufi, Salman M. Albeshan, Abdulaziz S. Alshabibi, Meaad M. Almusined, Lina A. Aldibas, Milaf G. Alotaibi, Sara Hosawi, Sourav Panja   +7 more
wiley   +1 more source

Breast Cancer: Computer-aided Detection with Digital Breast Tomosynthesis [PDF]

Radiology, 2015
To evaluate a commercial tomosynthesis computer-aided detection (CAD) system in an independent, multicenter dataset.Diagnostic and screening tomosynthesis mammographic examinations (n = 175; cranial caudal and mediolateral oblique) were randomly selected from a previous institutional review board-approved trial.
Lia Morra, Daniela Sacchetto, Manuela Durando, Silvano Agliozzo, Luca Alessandro Carbonaro, Silvia Delsanto, Barbara Pesce, Diego Persano, Giovanna Mariscotti, Vincenzo Marra, Paolo Fonio, Alberto Bert   +11 more
openaire   +3 more sources