no code implementations • 16 Jan 2023 • Anuja Vats, Marius Pedersen, Ahmed Mohammed, Øistein Hovde
Like training in other modalities such as traditional endoscopy, CT, MRI, etc., a WCE training protocol would require an atlas comprising of a large corpora of images that show vivid descriptions of pathologies and abnormalities, ideally observed over a period of time.
no code implementations • 30 Jun 2021 • Anuja Vats, Marius Pedersen, Ahmed Mohammed, Øistein Hovde
The progress in Computer Aided Diagnosis (CADx) of Wireless Capsule Endoscopy (WCE) is thwarted by the lack of data.
no code implementations • 8 Apr 2021 • Olivier Rukundo, Marius Pedersen, Øistein Hovde
The proposed method (PM) combines two algorithms for the enhancement of darker and brighter areas of capsule endoscopic images, respectively.
1 code implementation • Journal on Image and Video Processing 2018 • Ahmed Mohammed, Ivar Farup, Sule Yildirim, Marius Pedersen, Øistein Hovde
The main objective of the paper is to increase the frame rate to be closer to that of the colonoscopy.
1 code implementation • Journal of Imaging 2018 • Ahmed Mohammed, Ivar Farup, Marius Pedersen, Øistein Hovde, and Sule Yildirim Yayilgan
In this paper, we consider the problem of enhancing the visibility of detail and shadowed tissue surfaces for capsule endoscopy images.
1 code implementation • 5 Jun 2018 • Ahmed Mohammed, Sule Yildirim, Ivar Farup, Marius Pedersen, Øistein Hovde
To handle this problem, we propose a novel deep learning method Y-Net that consists of two encoder networks with a decoder network.