Article

Replication of an open-access deep learning system for screening mammography: Reduced performance mitigated by retraining on local data

2021-06-01

Abstract excerpt

<h4>ABSTRACT</h4> <h4>Aim</h4> To assess the generalisability of a deep learning (DL) system for screening mammography developed at New York University (NYU), USA (1, 2) in a South Australian (SA) dataset. <h4>Methods and Materials</h4> Clients with pathology-proven lesions (n=3,160) and age-matched controls (n=3,240) were selected from women screened at BreastScreen SA from January 2010 to December 2016 (n client...

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Literature Corpus work: 4202297e-1453-59d9-8549-3b353af41448
DOI: 10.1101/2021.05.28.21257892

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