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Descripción
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| n neurobiology, the identification and reconstruction of dendritic spines from large microscopy image datasets is an important tool for the study of neuronal functions and biophysical properties. But the problem of how to automatically and accurately detect and analyse structural information from dendrites images in 3D confocal microscopy has not been completely solved. We propose an novel approach to detect and extract dendritic spines regardless their size o type, for images stacks result of 3D confocal microscopy. This method is based on supervoxel segmentation and their classification using a number of different, complementary algorithms. | |
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Internacional
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Si |
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DOI
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10.1007/978-3-319-08729-0_37 |
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Edición del Libro
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8537 |
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Editorial del Libro
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Springer Link |
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ISBN
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978-3-319-08728-3 |
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Serie
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Lecture Notes in Computer Science |
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Título del Libro
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Rough Sets and Intelligent Systems Paradigms |
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Desde página
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359 |
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Hasta página
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366 |