Search Results for author: Øistein Hovde

Found 6 papers, 3 papers with code

Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images

no code implementations16 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.

Advanced Image Enhancement Method for Distant Vessels and Structures in Capsule Endoscopy

no code implementations8 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.

Image Enhancement

Stochastic Capsule Endoscopy Image Enhancement

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.

Image Enhancement

Y-Net: A deep Convolutional Neural Network for Polyp Detection

1 code implementation5 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.

Decoder

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