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(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 ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
The extent to which advanced waveform analysis of non-invasive physiological signals can diagnose levels of hypovolemia remains insufficiently explored. The present study explores the discriminative ability of a deep ...
(Journal article / Tidsskriftartikkel / PublishedVersion; Peer reviewed, 2023)
Background and Objective: Renal cell carcinoma represents a significant global health challenge with a low survival rate. The aim of this research was to devise a comprehensive deep-learning model capable of predicting ...