AI-based strategies to reduce workload in breast cancer screening with mammography and tomosynthesis: a retrospective evaluation
JL Raya-Povedano, S Romero-Martín, E Elías-Cabot… - Radiology, 2021 - pubs.rsna.org
Background The workflow of breast cancer screening programs could be improved given the
high workload and the high number of false-positive and false-negative assessments …
high workload and the high number of false-positive and false-negative assessments …
Standalone AI for breast cancer detection at screening digital mammography and digital breast tomosynthesis: a systematic review and meta-analysis
Background There is considerable interest in the potential use of artificial intelligence (AI)
systems in mammographic screening. However, it is essential to critically evaluate the …
systems in mammographic screening. However, it is essential to critically evaluate the …
Digital breast tomosynthesis versus digital mammography: integration of image modalities enhances deep learning-based breast mass classification
X Li, G Qin, Q He, L Sun, H Zeng, Z He, W Chen… - European …, 2020 - Springer
Objective To evaluate the impact of utilizing digital breast tomosynthesis (DBT) or/and full-
field digital mammography (FFDM), and different transfer learning strategies on deep …
field digital mammography (FFDM), and different transfer learning strategies on deep …
Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography
Purpose: Develop a computer‐aided detection (CAD) system for masses in digital breast
tomosynthesis (DBT) volume using a deep convolutional neural network (DCNN) with …
tomosynthesis (DBT) volume using a deep convolutional neural network (DCNN) with …
Digital breast tomosynthesis for breast cancer detection: a diagnostic test accuracy systematic review and meta-analysis
M Alabousi, N Zha, JP Salameh, L Samoilov… - European …, 2020 - Springer
Objectives No consensus exists on digital breast tomosynthesis (DBT) utilization for breast
cancer detection. We performed a diagnostic test accuracy systematic review and meta …
cancer detection. We performed a diagnostic test accuracy systematic review and meta …
Breast cancer diagnosis in digital breast tomosynthesis: effects of training sample size on multi-stage transfer learning using deep neural nets
In this paper, we developed a deep convolutional neural network (CNN) for the classification
of malignant and benign masses in digital breast tomosynthesis (DBT) using a multi-stage …
of malignant and benign masses in digital breast tomosynthesis (DBT) using a multi-stage …
A risk model for digital breast tomosynthesis to predict breast cancer and guide clinical care
M Eriksson, S Destounis, K Czene, A Zeiberg… - Science Translational …, 2022 - science.org
Screening with digital breast tomosynthesis (DBT) improves breast cancer detection and
reduces false positives. However, currently, no breast cancer risk model takes advantage of …
reduces false positives. However, currently, no breast cancer risk model takes advantage of …
Deep-learning convolution neural network for computer-aided detection of microcalcifications in digital breast tomosynthesis
A deep learning convolution neural network (DLCNN) was designed to differentiate
microcalcification candidates detected during the prescreening stage as true calcifications or …
microcalcification candidates detected during the prescreening stage as true calcifications or …
Increased cancer detection rate and variations in the recall rate resulting from implementation of 3D digital breast tomosynthesis into a population-based screening …
RE Sharpe Jr, S Venkataraman, J Phillips, V Dialani… - Radiology, 2016 - pubs.rsna.org
Purpose To compare the recall and cancer detection rates (CDRs) at screening with digital
breast tomosynthesis (DBT) with those at screening with two-dimensional (2D) …
breast tomosynthesis (DBT) with those at screening with two-dimensional (2D) …
Computer-aided detection of mass in digital breast tomosynthesis using a faster region-based convolutional neural network
Digital breast tomosynthesis (DBT) is a newly developed three-dimensional tomographic
imaging modality in the field of breast cancer screening designed to alleviate the limitations …
imaging modality in the field of breast cancer screening designed to alleviate the limitations …