Listar por tema "Computer aided analysis"
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Detecting and Locating Gastrointestinal Anomalies Using Deep Learning and Iterative Cluster Unification
(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 ... -
Understanding transboundary air pollution network: Emissions, depositions and spatio-temporal distribution of pollution in European region
(2019)The primary objective of this paper is the structural analysis of source-receptor air pollution problems in the EU region. Two views are provided for the analysis: an emission-driven view and a deposition-driven view. ...