Todo DSpace

Listar por tema "Gastrointestinal endoscopies"

Mostrando ítems 1-3 de 3

    • Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification 

      Iakovidis D.K., Georgakopoulos S.V., Vasilakakis M., Koulaouzidis A., Plagianakos V.P. (2018)
      This paper proposes a novel methodology for automatic detection and localization of gastrointestinal (GI) anomalies in endoscopic video frame sequences. Training is performed with weakly annotated images, using only ...

    • Endoscopic single-image size measurements 

      Dimas G., Bianchi F., Iakovidis D.K., Karargyris A., Ciuti G., Koulaouzidis A. (2020)
      In the practice of clinical gastrointestinal endoscopy, precise estimation of the size of a lesion/finding, such as a polyp, is quintessential in diagnosis, e.g. risk estimation for malignancy. However, various studies ...

    • Look-behind fully convolutional neural network for computer-aided endoscopy 

      Diamantis D.E., Iakovidis D.K., Koulaouzidis A. (2019)
      In this paper, we propose a novel Fully Convolutional Neural Network (FCN) architecture aiming to aid the detection of abnormalities, such as polyps, ulcers and blood, in gastrointestinal (GI) endoscopy images. The proposed ...