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  1. 1.
    0578865 - ÚTIA 2024 RIV LT eng C - Conference Paper (international conference)
    Flusser, Jan
    Visual Object Recognition - Traditional Methods Along with Deep Learning Approaches.
    14th Conference of Data Analysis Methods for Software Systems (DAMSS23). Vilnius: Vilnius University Press, 2023 - (Bernatavičienė, J.), s. 23-23. Vilnius University Proceedings, vol. 39. E-ISSN 2669-0233.
    [Conference on DATA ANALYSIS METHODS for Software Systems 2023 /14./. Druskininkai (LT), 30.11.2023-02.12.2023]
    R&D Projects: GA ČR GA21-03921S
    Institutional support: RVO:67985556
    Keywords : Visual Object Recognition * Deep Learning Approaches * continuous analysis of the visual field
    OECD category: Computer hardware and architecture
    http://library.utia.cas.cz/separaty/2023/ZOI/flusser-0578865.docx
    Permanent Link: https://hdl.handle.net/11104/0347795
     
     
  2. 2.
    0100107 - FZU-D 20040087 RIV US eng C - Conference Paper (international conference)
    Pluháček, F. - Pospíšil, Jaroslav - Kuběna, T. - Marešová, K.
    Detection of optics disc glaucoma damages using image analysis and artifical neural net.
    [Detekce glaukomových změn slepé skvrny užitím obrazové analýzy a umělé neuronové sítě.]
    Novel Optical Instrumentation for Biomedical Applications. Washington: SPIE The International Society for Optical Engineering, 2003 - (Boccara, A.), s. 240-249. Proceedings of SPIE. OSA Biomedical Optics. 5143. ISBN 0-8194-5013-8. ISSN 1605-7422.
    [Novel Optical Instrumentation for Biomedical Applications. Munich (DE), 24.06.2003-25.06.2003]
    Institutional research plan: CEZ:AV0Z1010921
    Keywords : glaucoma * image analysis * statistical evaluation * neural net * visual field
    Subject RIV: BH - Optics, Masers, Lasers
    Permanent Link: http://hdl.handle.net/11104/0007613
     
     


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