Automated Screening for Pathologies at Abattoir Through Computer Vision-Based Inspection of Pig Carcases (Joint with Tulip Limited, Hellenic Systems, University of Newcastle and BPEX)

Project Details

StatusFinished
Effective start/end date31/01/1431/10/17

Funding

  • Biotechnology and Biological Sciences Research Council (BB/L017423/1): £21,394.00

Research Output

  • 2 Conference contribution
  • 2 Article

Automated Classification for Visual-Only Post-Mortem Inspection of Porcine Pathology

McKenna, S., Amaral, T. & Kyriazakis, I., Apr 2020, In : IEEE Transactions on Automation Science and Engineering. 17, 2, p. 1005-1016 12 p., 8963870.

Research output: Contribution to journalArticle

Open Access
File
  • 83 Downloads (Pure)

    Multi-part segmentation for porcine offal inspection with auto-context and adaptive atlases

    McKenna, S., Amaral, T., Plotz, T. & Kyriazakis, I., 1 Sep 2018, In : Pattern Recognition Letters. 112, p. 290-296 7 p.

    Research output: Contribution to journalArticle

    Open Access
    File
  • 4 Citations (Scopus)
    143 Downloads (Pure)

    Segmentation of organs in pig offal using auto-context

    Amaral, T., Kyriazakis, I., McKenna, S. & Plotz, T., 16 Jun 2016, 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI): From Nano to Macro, ISBI 2016 - Proceedings. IEEE, Vol. June-2016. p. 1324-1328 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Open Access
    File
  • 2 Citations (Scopus)
    342 Downloads (Pure)