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A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images

Erdil, Ertunç and Argunşah, Ali Özgür and Taşdizen, Tolga and Ünay, Devrim and Çetin, Müjdat (2015) A joint classification and segmentation approach for dendritic spine segmentation in 2-photon microscopy images. In: IEEE 12th International Symposium on Biomedical Imaging (ISBI 2015), New York, NY

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Official URL: http://dx.doi.org/10.1109/ISBI.2015.7163992

Abstract

Shape priors have been successfully used in challenging biomedical imaging problems. However when the shape distribution involves multiple shape classes, leading to a multimodal shape density, effective use of shape priors in segmentation becomes more challenging. In such scenarios, knowing the class of the shape can aid the segmentation process, which is of course unknown a priori. In this paper, we propose a joint classification and segmentation approach for dendritic spine segmentation which infers the class of the spine during segmentation and adapts the remaining segmentation process accordingly. We evaluate our proposed approach on 2-photon microscopy images containing dendritic spines and compare its performance quantitatively to an existing approach based on nonparametric shape priors. Both visual and quantitative results demonstrate the effectiveness of our approach in dendritic spine segmentation.

Item Type:Papers in Conference Proceedings
Uncontrolled Keywords:Dendritic spine segmentation, joint classification and segmentation, multimodal shape density, nonparametric shape priors, active contours, 2-photon microscopy
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
ID Code:28908
Deposited By:Müjdat Çetin
Deposited On:24 Dec 2015 13:33
Last Modified:05 Sep 2016 14:55

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