[HTML][HTML] 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
assessment of a study. The clinical density assessments of 33,000 mammographic
examinations (164,000 images) from one academic medical center (Site A) were used for
training. Materials and methods This was an IRB approved HIPAA compliant study
performed at two academic medical centers. The validation data set was composed of 500 …
The tool utilizes a convolutional neural network to predict the BI-RADS based density
assessment of a study. The clinical density assessments of 33,000 mammographic
examinations (164,000 images) from one academic medical center (Site A) were used for
training. Materials and methods This was an IRB approved HIPAA compliant study
performed at two academic medical centers. The validation data set was composed of 500 …
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