Hashing forests for morphological search and retrieval in neuroscientific image databases
Mesbah S, Conjeti S, Kumaraswamy A, Rautenberg P, Navab N, Katouzian A (2015)
Publication Type: Conference contribution
Publication year: 2015
Journal
Publisher: Springer Verlag
Book Volume: 9350
Pages Range: 135-143
Conference Proceedings Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Event location: Munich, DEU
ISBN: 9783319245706
DOI: 10.1007/978-3-319-24571-3_17
Abstract
In this paper, for the first time, we propose a data-driven search and retrieval (hashing) technique for large neuron image databases. The presented method is established upon hashing forests, where multiple unsupervised random trees are used to encode neurons by parsing the neuromorphological feature space into balanced subspaces. We introduce an inverse coding formulation for retrieval of relevant neurons to effectively mitigate the need for pairwise comparisons across the database. Experimental validations show the superiority of our proposed technique over the state-of-the art methods, in terms of precision-recall trade off for a particular code size. This demonstrates the potential of this approach for effective morphology preserving encoding and retrieval in large neuron databases.
Involved external institutions
Technische Universität München (TUM)
Germany (DE)
Ludwig-Maximilians-Universität (LMU)
Germany (DE)
Max Planck Digital Library (MPDL)
Germany (DE)
Germany (DE)
Ludwig-Maximilians-Universität (LMU)
Germany (DE)
Max Planck Digital Library (MPDL)
Germany (DE)
How to cite
APA:
Mesbah, S., Conjeti, S., Kumaraswamy, A., Rautenberg, P., Navab, N., & Katouzian, A. (2015). Hashing forests for morphological search and retrieval in neuroscientific image databases. In Joachim Hornegger, Alejandro F. Frangi, William M. Wells, Alejandro F. Frangi, Nassir Navab, Joachim Hornegger, Nassir Navab, William M. Wells, William M. Wells, Alejandro F. Frangi, Joachim Hornegger, Nassir Navab (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 135-143). Munich, DEU: Springer Verlag.
MLA:
Mesbah, Sepideh, et al. "Hashing forests for morphological search and retrieval in neuroscientific image databases." Proceedings of the 18th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2015, Munich, DEU Ed. Joachim Hornegger, Alejandro F. Frangi, William M. Wells, Alejandro F. Frangi, Nassir Navab, Joachim Hornegger, Nassir Navab, William M. Wells, William M. Wells, Alejandro F. Frangi, Joachim Hornegger, Nassir Navab, Springer Verlag, 2015. 135-143.
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