MURAL - Maynooth University Research Archive Library



    Classification of Digital Holograms with Deep Learning and Hand-Crafted Features


    Pitkäaho, Tomi and Manninen, Aki and Naughton, Thomas J. (2018) Classification of Digital Holograms with Deep Learning and Hand-Crafted Features. In: Digital Holography and Three- Dimensional Imaging 2018 (part of Imaging and Applied Optics 2018), 2018.

    [img]
    Preview
    Download (447kB) | Preview


    Share your research

    Twitter Facebook LinkedIn GooglePlus Email more...



    Add this article to your Mendeley library


    Abstract

    Digital holographic microscopy allows a single-shot label-free imaging of living microscopic objects using a low intensity laser. Using reconstructed quantitative phase as an input to a convolutional neural network, detection of tumorigenic samples is possible.

    Item Type: Conference or Workshop Item (Paper)
    Keywords: Classification; Digital Holograms; Deep Learning; Hand-Crafted Features;
    Academic Unit: Faculty of Science and Engineering > Computer Science
    Faculty of Science and Engineering > Research Institutes > Hamilton Institute
    Item ID: 15593
    Identification Number: https://doi.org/10.1364/DH.2018.DW2F.3
    Depositing User: Thomas Naughton
    Date Deposited: 28 Feb 2022 15:56
    Refereed: Yes
    URI:

      Repository Staff Only(login required)

      View Item Item control page

      Downloads

      Downloads per month over past year