A generative adversarial network-based abnormality detection using only normal images for model training with application to digital breast tomosynthesis

Abstract Deep learning has shown tremendous potential in the task of object detection in images. However, a common challenge with this task is when only a limited number of images containing the object of interest are available. This is a particular issue in cancer screening, such as digital breast...

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Auteurs principaux: Albert Swiecicki, Nicholas Konz, Mateusz Buda, Maciej A. Mazurowski
Format: article
Langue:EN
Publié: Nature Portfolio 2021
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Accès en ligne:https://doaj.org/article/508eb076572e45cab8b174526afb95f2
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