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Flexible synapse detection in fluorescence micrographs by modeling human expert grading

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Herold, Julia, Friedenberger, Manuela, Bode, Marcus, Rajpoot, Nasir M. (Nasir Mahmood), Schubert, Walter and Nattkemper, Tim W. (2008) Flexible synapse detection in fluorescence micrographs by modeling human expert grading. In: 5th IEEE International Symposium on Biomedical Imaging (ISBI 2008), Paris, France, 14-17 May 2008. Published in: 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008. pp. 1347-1350. ISBN 9781424420025. doi:10.1109/ISBI.2008.4541254

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Official URL: http://dx.doi.org/10.1109/ISBI.2008.4541254

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Abstract

A particularly difficult task in molecular imaging is the analysis of fluorescence microscopy images of neural tissue, as they usually exhibit a high density of objects with diffuse signals. To automate synapse detection in such images, one has to simulate aspects of human pattern recognition skills to account for low signal-to-noiseratios. We propose a machine learning based method that allows a direct integration of the experts' visual expertise who tag a low number of referential synapses according to their degree of synapse likeness. The sensitivity and positive predictive values show that by using graded likeness information in our learning algorithm we can provide an intuitively tunable tool for neural tissue slide evaluation.

Item Type: Conference Item (Paper)
Divisions: Faculty of Science > Computer Science
Journal or Publication Title: 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2008.
Publisher: IEEE
ISBN: 9781424420025
Book Title: 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Official Date: 2008
Dates:
DateEvent
2008Published
Page Range: pp. 1347-1350
DOI: 10.1109/ISBI.2008.4541254
Status: Peer Reviewed
Publication Status: Published
Conference Paper Type: Paper
Title of Event: 5th IEEE International Symposium on Biomedical Imaging (ISBI 2008)
Type of Event: Other
Location of Event: Paris, France
Date(s) of Event: 14-17 May 2008
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