3D segmentation and feature extraction of CLSM scanned nuclei using evolutionary snakes

Ali Roula; A. Bouridane; Jim  Diamond

doi:10.1109/ISBI.2007.356852

3D segmentation and feature extraction of CLSM scanned nuclei using evolutionary snakes

Ali Roula, A. Bouridane, Jim Diamond

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper presents a novel approach for quantifying chromatin in cell nuclei by using 3D texture analysis on PI dyed prostate nuclei. This was rendered possible by the use of the proposed 3D segmentation method for extraction of the volumetric data. The method is a generalization of evolutionary snake approach to the case of 3D objects. The segmentation is followed by 3D texture feature extraction performed on a group of normal and malignant prostate nuclei. Student's t-test results show a statistically significant differentiation between malignant and normal cells in many of the 3D texture features used showing the effectiveness of the proposed approach for quantifying nuclei state of malignancy

Original language	English
Title of host publication	IEEE International Symposium on Biomedical Imaging
Subtitle of host publication	2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro
Publisher	Institute of Electrical and Electronics Engineers
Pages	316-319
DOIs	https://doi.org/10.1109/ISBI.2007.356852
Publication status	Published - 2007

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Roula, A., Bouridane, A., & Diamond, J. (2007). 3D segmentation and feature extraction of CLSM scanned nuclei using evolutionary snakes. In IEEE International Symposium on Biomedical Imaging: 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro (pp. 316-319). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ISBI.2007.356852

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title = "3D segmentation and feature extraction of CLSM scanned nuclei using evolutionary snakes",

abstract = "This paper presents a novel approach for quantifying chromatin in cell nuclei by using 3D texture analysis on PI dyed prostate nuclei. This was rendered possible by the use of the proposed 3D segmentation method for extraction of the volumetric data. The method is a generalization of evolutionary snake approach to the case of 3D objects. The segmentation is followed by 3D texture feature extraction performed on a group of normal and malignant prostate nuclei. Student's t-test results show a statistically significant differentiation between malignant and normal cells in many of the 3D texture features used showing the effectiveness of the proposed approach for quantifying nuclei state of malignancy",

author = "Ali Roula and A. Bouridane and Jim Diamond",

year = "2007",

doi = "10.1109/ISBI.2007.356852",

language = "English",

pages = "316--319",

booktitle = "IEEE International Symposium on Biomedical Imaging",

publisher = "Institute of Electrical and Electronics Engineers",

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Roula, A, Bouridane, A & Diamond, J 2007, 3D segmentation and feature extraction of CLSM scanned nuclei using evolutionary snakes. in IEEE International Symposium on Biomedical Imaging: 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Institute of Electrical and Electronics Engineers, pp. 316-319. https://doi.org/10.1109/ISBI.2007.356852

3D segmentation and feature extraction of CLSM scanned nuclei using evolutionary snakes. / Roula, Ali; Bouridane, A.; Diamond, Jim .

IEEE International Symposium on Biomedical Imaging: 2007 4th IEEE International Symposium on Biomedical Imaging: From Nano to Macro. Institute of Electrical and Electronics Engineers, 2007. p. 316-319.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Roula, Ali

AU - Bouridane, A.

AU - Diamond, Jim

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N2 - This paper presents a novel approach for quantifying chromatin in cell nuclei by using 3D texture analysis on PI dyed prostate nuclei. This was rendered possible by the use of the proposed 3D segmentation method for extraction of the volumetric data. The method is a generalization of evolutionary snake approach to the case of 3D objects. The segmentation is followed by 3D texture feature extraction performed on a group of normal and malignant prostate nuclei. Student's t-test results show a statistically significant differentiation between malignant and normal cells in many of the 3D texture features used showing the effectiveness of the proposed approach for quantifying nuclei state of malignancy

AB - This paper presents a novel approach for quantifying chromatin in cell nuclei by using 3D texture analysis on PI dyed prostate nuclei. This was rendered possible by the use of the proposed 3D segmentation method for extraction of the volumetric data. The method is a generalization of evolutionary snake approach to the case of 3D objects. The segmentation is followed by 3D texture feature extraction performed on a group of normal and malignant prostate nuclei. Student's t-test results show a statistically significant differentiation between malignant and normal cells in many of the 3D texture features used showing the effectiveness of the proposed approach for quantifying nuclei state of malignancy

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DO - 10.1109/ISBI.2007.356852

M3 - Conference contribution

SP - 316

EP - 319

BT - IEEE International Symposium on Biomedical Imaging

PB - Institute of Electrical and Electronics Engineers

ER -

3D segmentation and feature extraction of CLSM scanned nuclei using evolutionary snakes

Abstract

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