Shape-based breast lesion classification using digital tomosynthesis images: The role of explainable artificial intelligence
Computer-aided diagnosis (CAD) systems can help radiologists in numerous medical tasks
including classification and staging of the various diseases. The 3D tomosynthesis imaging …
including classification and staging of the various diseases. The 3D tomosynthesis imaging …
A performance comparison between shallow and deeper neural networks supervised classification of tomosynthesis breast lesions images
Abstract Computer Aided Decision (CAD) systems, based on 3D tomosynthesis imaging,
could support radiologists in classifying different kinds of breast lesions and then improve …
could support radiologists in classifying different kinds of breast lesions and then improve …
Intelligent Computer-aided model for efficient diagnosis of digital breast tomosynthesis 3D imaging using Deep Learning
AMA El-Shazli, SM Youssef, AH Soliman - Applied Sciences, 2022 - mdpi.com
Digital breast tomosynthesis (DBT) is a highly promising 3D imaging modality for breast
diagnosis. Tissue overlapping is a challenge with traditional 2D mammograms; however …
diagnosis. Tissue overlapping is a challenge with traditional 2D mammograms; however …
Transformer-based deep neural network for breast cancer classification on digital breast tomosynthesis images
Purpose To develop an efficient deep neural network model that incorporates context from
neighboring image sections to detect breast cancer on digital breast tomosynthesis (DBT) …
neighboring image sections to detect breast cancer on digital breast tomosynthesis (DBT) …
A method for the automated classification of benign and malignant masses on digital breast tomosynthesis images using machine learning and radiomic features
A Sakai, Y Onishi, M Matsui, H Adachi… - … Physics and Technology, 2020 - Springer
In digital mammography, which is used for the early detection of breast tumors, oversight
may occur due to overlap between normal tissues and lesions. However, since digital breast …
may occur due to overlap between normal tissues and lesions. However, since digital breast …
A deep learning classifier for digital breast tomosynthesis
R Ricciardi, G Mettivier, M Staffa, A Sarno, G Acampora… - Physica Medica, 2021 - Elsevier
Purpose To develop a computerized detection system for the automatic classification of the
presence/absence of mass lesions in digital breast tomosynthesis (DBT) annotated exams …
presence/absence of mass lesions in digital breast tomosynthesis (DBT) annotated exams …
Transfer learning from convolutional neural networks for computer-aided diagnosis: a comparison of digital breast tomosynthesis and full-field digital mammography
Rationale and Objectives With the growing adoption of digital breast tomosynthesis (DBT) in
breast cancer screening, we compare the performance of deep learning computer-aided …
breast cancer screening, we compare the performance of deep learning computer-aided …
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 …
2d convolutional neural networks for 3d digital breast tomosynthesis classification
Automated methods for breast cancer detection have focused on 2D mammography and
have largely ignored 3D digital breast tomosynthesis (DBT), which is frequently used in …
have largely ignored 3D digital breast tomosynthesis (DBT), which is frequently used in …
Mass detection and segmentation in digital breast tomosynthesis using 3D-mask region-based convolutional neural network: a comparative analysis
M Fan, H Zheng, S Zheng, C You, Y Gu… - Frontiers in molecular …, 2020 - frontiersin.org
Digital breast tomosynthesis (DBT) is an emerging breast cancer screening and diagnostic
modality that uses quasi-three-dimensional breast images to provide detailed assessments …
modality that uses quasi-three-dimensional breast images to provide detailed assessments …