Median-based robust algorithms for tracing neurons from noisy confocal microscope images.

Median-based robust algorithms for tracing neurons from noisy confocal microscope images.

This paper presents a method to exploit rank statistics to improve fully automatic tracing of neurons from noisy digital confocal microscope images. Previously proposed exploratory tracing (vectorization) algorithms work by recursively following the neuronal topology, guided by responses of multiple...

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Publié dans:IEEE Transactions on information technology in biomedicine 7, 4 (2003).
Auteur principal: Al-Kofahi, K.A
Format: Article
Langue:English
Sujets:
Biomedical image processing.
Correlation kernels.
Exploratory tracing.
Fully automatic tracing.
Graph-theoretic representation.
Manually derived tracing.
Median-based robust algorithms.
Microfabricated surfaces.
Multiple directional correlation kernels.
Nano-fabricated structures.
Neuron tracing.
Neuronal growth.
Neuronal topology.
Noisy confocal microscope images.
Noisy digital confocal microscope images.
Personal computer.
Pharmaceutical industry.
Precision metrics.
Rank statistics.
Recall metrics.
Size measurements.
Tracing algorithm.
Tracing precision.
Vectorization algorithms.