LAUSR

Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on Diagnostic Images in Oncology

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2 Published in 2022 at "JCO Clinical Cancer Informatics"

DOI: 10.1200/cci.21.00170

Abstract: PURPOSE Deep learning (DL) models have rapidly become a popular and cost-effective tool for image classification within oncology. A major limitation of DL models is their vulnerability to adversarial images, manipulated input images designed to… read more here.

Keywords: robustness models; oncology; learning models; deep learning ... See more keywords