Space: The Re-visioning Frontier of Biological Image Analysis with Graph Theory, Computational Geometry, and Spatial Statistics

Jungck JR, Pelsmajer MJ, Chappel C, Taylor D.

DOI: 10.20944/preprints202108.0579.v1
Published: 2021-08-31
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Cite this work

BibTeX

@article{allodium:10.20944/preprints202108.0579.v1,
  title = {Space: The Re-visioning Frontier of Biological Image Analysis with Graph Theory, Computational Geometry, and Spatial Statistics},
  author = {Jungck JR and  Pelsmajer MJ and  Chappel C and  Taylor D.},
  year = {2021},
  doi = {10.20944/preprints202108.0579.v1},
  url = {https://doi.org/10.20944/preprints202108.0579.v1}
}

RIS

TY  - JOUR
TI  - Space: The Re-visioning Frontier of Biological Image Analysis with Graph Theory, Computational Geometry, and Spatial Statistics
AU  - Jungck JR
AU  -  Pelsmajer MJ
AU  -  Chappel C
AU  -  Taylor D.
PY  - 2021
DO  - 10.20944/preprints202108.0579.v1
UR  - https://doi.org/10.20944/preprints202108.0579.v1
ER  -

APA

JR, J., MJ, P., C, C., & D., T. (2021). Space: The Re-visioning Frontier of Biological Image Analysis with Graph Theory, Computational Geometry, and Spatial Statistics. https://doi.org/10.20944/preprints202108.0579.v1

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europe-pmc · retrieved 2026-11-10T11:26:53.105Z