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Abnormal Colon Polyp Image Synthesis Using Conditional Adversarial Networks for Improved Detection Performance
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2018)
One of the major obstacles in automatic polyp detection during colonoscopy is the lack of labeled polyp training images. In this paper, we propose a framework of conditional adversarial networks to increase the number of ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2019)
Deep learning has delivered promising results for automatic polyp detection and segmentation. However, deep learning is known for being data-hungry, and its performance is correlated with the amount of available training ...