Now showing items 1-2 of 2

    • Automated quality control in image segmentation: application to the UK Biobank cardiovascular magnetic resonance imaging study 

      PETERSEN, SE; Robinson, R; Valindria, V; Bai, W; Oktay, O; Kainz, B; Suzuki, H; Sanghvi, M; Aung, N; Paiva, J (BioMed Central, 2019-03-14)
      Background: The trend towards large-scale studies including population imaging poses new challenges in terms of quality control (QC). This is a particular issue when automatic processing tools such as image segmentation methods ...
    • Real-Time Prediction of Segmentation Quality 

      Robinson, R; Oktay, O; Bai, W; Valindria, VV; Sanghvi, MM; Aung, N; Paiva, JM; Zemrak, F; Fung, K; Lukaschuk, E (2018-01-01)
      © 2018, Springer Nature Switzerland AG. Recent advances in deep learning based image segmentation methods have enabled real-time performance with human-level accuracy. However, occasionally even the best method fails due ...