Published September 19, 2023 | Version v1
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FIGURE 10 in Automated segmentation of insect anatomy from micro-CT images using deep learning

  • 1. Biodiversity and Biocomplexity Unit, Okinawa Institute of Science and Technology Graduate University,Onna,Okinawa,Japan
  • 2. Neural Computation Unit,Okinawa Institute of Science and Technology Graduate University,Onna,Okinawa,Japan
  • 3. Zuse Institute Berlin,Berlin,Germany

Description

FIGURE 10 Application of pipeline for other insect species. The brain textures of various insect species can be very similar to those of ants, facilitating the prediction by the network even without pretraining on specific insect brain scans. (a) Raw image of wasp head (original 1000 × 1000 px) and (b) its prediction without postprocessing (original 520 × 520 px), indicating satisfactory identification of the borders of the brain area. (c) 2D image of praying mantis head (520 × 520 px) and (d) the prediction of its brain area without postprocessing. Even though the network overpredicts some small pixel islands, it excludes from its prediction areas of the muscles, fibers, and cuticle.

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Published as part of Toulkeridou, Evropi, Economo, Evan P., Gutierrez, Carlos Enrique, Baum, Daniel & Doya, Kenji, 2023, Automated segmentation of insect anatomy from micro-CT images using deep learning, pp. 1-12 in Natural Sciences (e20230010) 3 (4) on page 10, DOI: 10.1002/ntls.20230010, http://zenodo.org/record/10076519

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Journal article: 10.1002/ntls.20230010 (DOI)
Journal article: urn:lsid:plazi.org:pub:F56D2713FFA7A01CE74FFF98B5327563 (LSID)
Journal article: https://zenodo.org/record/10076519 (URL)