[HTML][HTML] Application of deep learning in breast cancer imaging
This review gives an overview of the current state of deep learning research in breast cancer
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …
imaging. Breast imaging plays a major role in detecting breast cancer at an earlier stage, as …
[HTML][HTML] Artificial intelligence for breast cancer detection in mammography and digital breast tomosynthesis: State of the art
Screening for breast cancer with mammography has been introduced in various countries
over the last 30 years, initially using analog screen-film-based systems and, over the last 20 …
over the last 30 years, initially using analog screen-film-based systems and, over the last 20 …
[HTML][HTML] Applying deep learning in digital breast tomosynthesis for automatic breast cancer detection: A review
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 …
interpretation of diagnostic imaging studies. However, the technology used to acquire those …
Improving accuracy and efficiency with concurrent use of artificial intelligence for digital breast tomosynthesis
EF Conant, AY Toledano, S Periaswamy… - Radiology: Artificial …, 2019 - pubs.rsna.org
Purpose To evaluate the use of artificial intelligence (AI) to shorten digital breast
tomosynthesis (DBT) reading time while maintaining or improving accuracy. Materials and …
tomosynthesis (DBT) reading time while maintaining or improving accuracy. Materials and …
[HTML][HTML] Deep learning-based artificial intelligence for mammography
JH Yoon, EK Kim - Korean journal of radiology, 2021 - ncbi.nlm.nih.gov
During the past decade, researchers have investigated the use of computer-aided
mammography interpretation. With the application of deep learning technology, artificial …
mammography interpretation. With the application of deep learning technology, artificial …
Impact of artificial intelligence support on accuracy and reading time in breast tomosynthesis image interpretation: a multi-reader multi-case study
SL van Winkel, A Rodríguez-Ruiz, L Appelman… - European …, 2021 - Springer
Objectives Digital breast tomosynthesis (DBT) increases sensitivity of mammography and is
increasingly implemented in breast cancer screening. However, the large volume of images …
increasingly implemented in breast cancer screening. However, the large volume of images …
Deep learning in breast radiology: current progress and future directions
This review provides an overview of current applications of deep learning methods within
breast radiology. The diagnostic capabilities of deep learning in breast radiology continue to …
breast radiology. The diagnostic capabilities of deep learning in breast radiology continue to …
Breast cancer screening with digital breast tomosynthesis: comparison of different reading strategies implementing artificial intelligence
V Dahlblom, M Dustler, A Tingberg, S Zackrisson - European Radiology, 2023 - Springer
Objectives Digital breast tomosynthesis (DBT) can detect more cancers than the current
standard breast screening method, digital mammography (DM); however, it can substantially …
standard breast screening method, digital mammography (DM); however, it can substantially …
Implementation of Abbreviated Breast MRI for Screening: AJR Expert Panel Narrative Review
Abbreviated breast MRI (AB-MRI) is being rapidly adopted to harness the high sensitivity of
screening MRI while addressing issues related to access, cost, and workflow. The …
screening MRI while addressing issues related to access, cost, and workflow. The …
Artificial intelligence for digital breast tomosynthesis: Impact on diagnostic performance, reading times, and workload in the era of personalized screening
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 …
tomosynthesis (DBT) are the reduction of reading times, the increase of diagnostic …