PACS-integrated machine learning breast density classifier: clinical validation

J Lewin, S Schoenherr, M Seebass, MD Lin, L Philpotts… - Clinical Imaging, 2023 - Elsevier
Objective To test the performance of a novel machine learning-based breast density tool.
The tool utilizes a convolutional neural network to predict the BI-RADS based density …

PACS-integrated machine learning breast density classifier: clinical validation

J Lewin, S Schoenherr, M Seebass, MD Lin, L Philpotts… - Clinical Imaging, 2023 - Elsevier
Objective To test the performance of a novel machine learning-based breast density tool.
The tool utilizes a convolutional neural network to predict the BI-RADS based density …

PACS-integrated machine learning breast density classifier: clinical validation.

J Lewin, S Schoenherr, M Seebass, M Lin… - Clinical …, 2023 - europepmc.org
Objective To test the performance of a novel machine learning-based breast density tool.
The tool utilizes a convolutional neural network to predict the BI-RADS based density …

PACS-integrated machine learning breast density classifier: clinical validation

J Lewin, S Schoenherr, M Seebass, MD Lin… - Clinical … - pubmed.ncbi.nlm.nih.gov
Objective To test the performance of a novel machine learning-based breast density tool.
The tool utilizes a convolutional neural network to predict the BI-RADS based density …

PACS-integrated machine learning breast density classifier: clinical validation

J Lewin, S Schoenherr, M Seebass, MD Lin… - Clinical …, 2023 - clinicalimaging.org
Objective To test the performance of a novel machine learning-based breast density tool.
The tool utilizes a convolutional neural network to predict the BI-RADS based density …