Dendritic Spine Shape Classification from Two-Photon Microscopy Images
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– Symptom (-): Focal, anterosuperior end plate, in the middle lumbar spine, normal adjacent discs – Symptom (+): Widespread and settles in end plates. adjacent to the
We perform cluster analysis on two-photon microscopic images of spines using morphological, shape, and ap- pearance based features and gain insights into the spine shape
To the best of our knowledge, the application of these techniques to spine analysis have not been reported in the literature.In this study, we use sev- eral manifold learning
We apply the DNSM shape and appear- ance priors based approach to segment the dendritic spines from intensity images, and further use this parametric repre- sentation as our
This thesis focuses on mor- phological, shape, and appearance features based methods to perform dendritic spine shape analysis using both clustering and classification approaches..
Tespit edilen dikenlerin boliitlenmesi i<.;in her iki yontem havuzlama (watershed) algoritmasl uygular. Elde edilen deney sonu<.;lan iki yontemin de dikenlerin
We should also point out that we have explored several ways of using nonparametric shape priors in the post-classification segmentation phase of our approach (such as exploiting