Blar i NTNU Open på forfatter "Hovde, Øistein"

Viser treff 1-13 av 13

    • 3D Reconstruction of Gastrointestinal Regions Using Single-View Methods 

      Ahmad, Bilal; Floor, Pål Anders; Farup, Ivar; Hovde, Øistein (Peer reviewed; Journal article, 2023)
      Capsule endoscopy is about to become an alternative to traditional colonoscopy. One uses a wireless camera to visualize the gastrointestinal (GI) tract. A 3D model based on image sequences obtained from wireless capsule ...

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

      Rukundo, Olivier; Pedersen, Marius; Hovde, Øistein (Journal article; Peer reviewed, 2017)
      This paper proposes an advanced method for contrast enhancement of capsule endoscopic images, with the main objective to obtain sufficient information about the vessels and structures in more distant (or darker) parts of ...

    • Deep Learning for Improved Diagnosis of Pathologies in Wireless Capsule Endoscopy with Focus on Data Efficiency and Transparency 

      Vats, Anuja (Doctoral theses at NTNU;2023:272, Doctoral thesis, 2023)
      Over the past decade the use of deep learning in different application areas has increased steadily. These areas include automated decisions in industries to autonomous vehicles, defence, and even medical. Each field gives ...

    • Deep-STRESS Capsule Video Endoscopy Image Enhancement 

      Mohammed, Ahmed Kedir; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      This paper proposes a unified framework for capsule video endoscopy image enhancement with an objective to enhance the diagnostic values of these images. The proposed method is based on a hybrid approach of deep learning ...

    • Error reduction through post processing for wireless capsule endoscope video 

      Floor, Pål Anders; Farup, Ivar; Pedersen, Marius; Hovde, Øistein (Peer reviewed; Journal article, 2020)
      The wireless capsule endoscope (WCE) is a pill-sized device taking images, which are transmitting to an on-body receiver, while traveling through the digestive system. Since image data is transmitted through the human body, ...

    • Evaluating clinical diversity and plausibility of synthetic capsule endoscopic images 

      Vats, Anuja; Pedersen, Marius; Mohammed, Ahmed Kedir; Hovde, Øistein (Peer reviewed; Journal article, 2023)
      Wireless Capsule Endoscopy (WCE) is being increasingly used as an alternative imaging modality for complete and non-invasive screening of the gastrointestinal tract. Although this is advantageous in reducing unnecessary ...

    • The Importance Of Skip Connections In Encoder-Decoder Architectures For Colorectal Polyp Detection 

      Mulliqi, Nita; Yildirim Yayilgan, Sule; Mohammed, Ahmed Kedir; Ahmedi, Lule; Wang, Hao; Elezaj, Ogerta; Hovde, Øistein (Chapter, 2020)
      Accurate polyp detection during the colonoscopy procedure impacts colorectal cancer prevention and early detection. In this paper, we investigate the influence of skip connections as the main component of encoder-decoder ...

    • Learning More for Free-A Multi Task Learning Approach for Improved Pathology Classification in Capsule Endoscopy 

      Vats, Anuja; Pedersen, Marius; Mohammed, Ahmed Kedir; Hovde, Øistein (Chapter, 2021)
      The progress in Computer Aided Diagnosis (CADx) of Wireless Capsule Endoscopy (WCE) is thwarted by the lack of data. The inadequacy in richly representative healthy and abnormal conditions results in isolated analyses of ...

    • PS-DeVCEM: Pathology-sensitive deep learning model for video capsule endoscopy based on weakly labeled data 

      Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Yildirim Yayilgan, Sule; Hovde, Øistein (Peer reviewed; Journal article, 2020)
      We propose a novel pathology-sensitive deep learning model (PS-DeVCEM) for frame-level anomaly detection and multi-label classification of different colon diseases in video capsule endoscopy (VCE) data. Our proposed model ...

    • Sparse coded handcrafted and deep features for colon capsule video summarization 

      Mohammed, Ahmed Kedir; Yildirim, Sule; Pedersen, Marius; Hovde, Øistein; Alaya Cheikh, Faouzi (Journal article, 2017)
      Capsule endoscopy, which uses a wireless camera to take images of the digestive track, is emerging as an alternative to traditional wired colonoscopy. A single examination produces a sequence of approximately 50,000 frames. ...

    • Stochastic Capsule Endoscopy Image Enhancement 

      Mohammed, Ahmed Kedir; Farup, Ivar; Pedersen, Marius; Hovde, Øistein; Yildirim Yayilgan, Sule (Journal article; Peer reviewed, 2018)
      Capsule endoscopy, which uses a wireless camera to take images of the digestive tract, is emerging as an alternative to traditional colonoscopy. The diagnostic values of these images depend on the quality of revealed ...

    • StreoScenNet: Surgical stereo robotic scene segmentation 

      Mohammed, Ahmed Kedir; Yildirim Yayilgan, Sule; Farup, Ivar; Pedersen, Marius; Hovde, Øistein (Journal article; Peer reviewed, 2019)
      Surgical robot technology has revolutionized surgery toward a safer laparoscopic surgery and ideally been suited for surgeries requiring minimal invasiveness. Sematic segmentation from robot-assisted surgery videos is an ...

    • Variational Approach for Capsule Video Frame Interpolation 

      Mohammed, Ahmed Kedir; Farup, Ivar; Yildirim, Sule; Pedersen, Marius; Hovde, Øistein (Journal article; Peer reviewed, 2018)
      Capsule video endoscopy, which uses a wireless camera to visualize the digestive tract, is emerging as an alternative to traditional colonoscopy. Colonoscopy is considered as the gold standard for visualizing the colon and ...