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    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.

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    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:
    Depositing User: Thomas Naughton
    Date Deposited: 28 Feb 2022 15:56
    Refereed: Yes
      Use Licence: This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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