Breast Cancer Screening with Digital Breast Tomosynthesis Improves Performance of Mammography Screening

MS Bae, BK Seo - Radiology, 2023 - pubs.rsna.org
Dr Min Sun Bae is an associate professor in the breast imaging section in the Department of
Radiology at Inha University Hospital. Her research interests focus on applying deep …

Consecutive screening rounds with digital breast tomosynthesis enable detection of breast cancers with poor prognosis

L Moy, SL Heller - Radiology, 2020 - pubs.rsna.org
Dr Moy is a professor of radiology at NYU. She is the senior deputy editor for Radiology and
deputy editor of Breast Imaging for Radiology. Her research focuses on diagnostic oncologic …

AI Improves Cancer Detection and Reading Time of Digital Breast Tomosynthesis

MS Bae - Radiology: Artificial Intelligence, 2024 - pubs.rsna.org
Min Sun Bae, MD, PhD, is an associate professor in the breast imaging section in the
department of radiology at Korea University Ansan Hospital. Her research interests include …

Artificial intelligence for digital breast tomosynthesis: Impact on diagnostic performance, reading times, and workload in the era of personalized screening

V Magni, A Cozzi, S Schiaffino, A Colarieti… - European journal of …, 2023 - Elsevier
The ultimate goals of the application of artificial intelligence (AI) to digital breast
tomosynthesis (DBT) are the reduction of reading times, the increase of diagnostic …

New Screening Performance Metrics for Digital Breast Tomosynthesis in US Community Practice from the Breast Cancer Surveillance Consortium

CS Lee, L Moy - Radiology, 2023 - pubs.rsna.org
Dr Lee is an associate professor in the breast imaging section in the Department of
Radiology at New York University Langone Health. She chairs the performance quality …

Digital breast tomosynthesis screening for breast cancer: it is cost-effective!

PJ Slanetz - Radiology, 2020 - pubs.rsna.org
Priscilla J. Slanetz is a professor of radiology at Boston University School of Medicine and a
breast imager at Boston University Medical Center. Her research interests focus on …

AI-enhanced Mammography with Digital Breast Tomosynthesis for Breast Cancer Detection: Clinical Value and Comparison with Human Performance

D Resch, R Lo Gullo, J Teuwen, F Semturs… - Radiology: Imaging …, 2024 - pubs.rsna.org
Purpose To compare two deep learning–based commercially available artificial intelligence
(AI) systems for mammography with digital breast tomosynthesis (DBT) and benchmark them …

Phase-Sensitive Breast Tomosynthesis May Address Shortcomings of Digital Breast Tomosynthesis

Y Gao, L Moy - Radiology, 2022 - pubs.rsna.org
Dr Gao is an associate professor in the breast imaging section of the Department of
Radiology at the New York University (NYU) Grossman School of Medicine. She is the …

[HTML][HTML] Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review

J Bai, R Posner, T Wang, C Yang, S Nabavi - Medical image analysis, 2021 - Elsevier
The relatively recent reintroduction of deep learning has been a revolutionary force in the
interpretation of diagnostic imaging studies. However, the technology used to acquire those …

Impact of AI for digital breast tomosynthesis on breast cancer detection and interpretation time

EK Park, SY Kwak, W Lee, JS Choi, T Kooi… - Radiology: Artificial …, 2024 - pubs.rsna.org
Purpose To develop an artificial intelligence (AI) model for the diagnosis of breast cancer on
digital breast tomosynthesis (DBT) images and to investigate whether it could improve …