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Liang Y, Vo H, Aji A, et al. Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2016;2016doi: 10.1145/2996913.2996925.
Liang, Y., Vo, H., Aji, A., Kong, J., & Wang, F. (2016). Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce. Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2016. https://doi.org/10.1145/2996913.2996925
Liang, Yanhui, et al. "Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce." Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems vol. 2016 (2016). doi: https://doi.org/10.1145/2996913.2996925
Liang Y, Vo H, Aji A, Kong J, Wang F. Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce. Proc ACM SIGSPATIAL Int Conf Adv Inf. 2016 Oct-Nov;2016. doi: 10.1145/2996913.2996925. PMID: 28770259; PMCID: PMC5535306.
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Proc ACM SIGSPATIAL Int Conf Adv Inf. 2016 Oct-Nov;2016. doi: 10.1145/2996913.2996925.

Scalable 3D Spatial Queries for Analytical Pathology Imaging with MapReduce.

Proceedings of the ... ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems : ACM GIS. ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Yanhui Liang, Hoang Vo, Ablimit Aji, Jun Kong, Fusheng Wang

Affiliations

  1. Stony Brook University, Stony Brook, NY, USA.
  2. Hewlett Packard Labs, Palo Alto, CA, USA.
  3. Emory University, Atlanta, GA, USA.

PMID: 28770259 PMCID: PMC5535306 DOI: 10.1145/2996913.2996925

Abstract

3D analytical pathology imaging examines high resolution 3D image volumes of human tissues to facilitate biomedical research and provide potential effective diagnostic assistance. Such approach - quantitative analysis of large-scale 3D pathology image volumes - generates tremendous amounts of spatially derived 3D micro-anatomic objects, such as 3D blood vessels and nuclei. Spatial exploration of such massive 3D spatial data requires effective and efficient

Keywords: 3D Digital Pathology; 3D Spatial Queries; MapReduce; Spatial Join; k nearest neighbor search

References

  1. Histopathology. 2012 Jul;61(1):1-9 - PubMed
  2. Proceedings VLDB Endowment. 2013 Aug;6(11):null - PubMed
  3. Proc IEEE Int Symp Biomed Imaging. 2015 Apr;2015:182-185 - PubMed
  4. Med Image Comput Comput Assist Interv. 2015 ;9351:251-9 - PubMed

Publication Types

Grant support