Efficient processing of pathological images using the grid: Computer-aided prognosis of neuroblastoma

Berkant Barla Cambazoglu; Olcay Sertel; Jun Kong; Joel Saltz; Metin N. Gurcan; Umit V. Catalyurek

doi:10.1145/1273404.1273408

Efficient processing of pathological images using the grid: Computer-aided prognosis of neuroblastoma

Berkant Barla Cambazoglu
, Olcay Sertel
, Jun Kong
, Joel Saltz
, Metin N. Gurcan
, Umit V. Catalyurek

Biomedical Informatics

Ohio State University

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

18 Scopus citations

Abstract

This paper presents a generalizable architecture for a grid-enabled biomedical imaging application, used for processing of pathological images for computer-aided prognosis. The presented architecture provides the scientists and developers a collaborative environment for management of remote image data and algorithm repositories and job execution over the grid. It is specifically designed for processing large-scale images in a distributed environment. In addition to the architecture, we also present its application to the computer-aided neuroblastoma prognosis as well as performance evaluation of the developed system using digitized pathological images.

Original language	English
Title of host publication	Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07
Pages	35-41
Number of pages	7
DOIs	https://doi.org/10.1145/1273404.1273408
State	Published - 2007
Event	16th International Symposium on High Performance Distributed Computing 2007, HPDC'07 and Co-Located Workshops - Monterey, CA, United States Duration: Jun 25 2007 → Jun 29 2007

Publication series

Name	Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07

Conference

Conference	16th International Symposium on High Performance Distributed Computing 2007, HPDC'07 and Co-Located Workshops
Country/Territory	United States
City	Monterey, CA
Period	06/25/07 → 06/29/07

Keywords

Grid
Neuroblastoma

Access to Document

10.1145/1273404.1273408

Cite this

Cambazoglu, B. B., Sertel, O., Kong, J., Saltz, J., Gurcan, M. N., & Catalyurek, U. V. (2007). Efficient processing of pathological images using the grid: Computer-aided prognosis of neuroblastoma. In Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07 (pp. 35-41). (Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07). https://doi.org/10.1145/1273404.1273408

Cambazoglu, Berkant Barla ; Sertel, Olcay ; Kong, Jun et al. / Efficient processing of pathological images using the grid : Computer-aided prognosis of neuroblastoma. Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07. 2007. pp. 35-41 (Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07).

@inproceedings{17181a7ae5c346e7b9bd0098fd29a16f,

title = "Efficient processing of pathological images using the grid: Computer-aided prognosis of neuroblastoma",

abstract = "This paper presents a generalizable architecture for a grid-enabled biomedical imaging application, used for processing of pathological images for computer-aided prognosis. The presented architecture provides the scientists and developers a collaborative environment for management of remote image data and algorithm repositories and job execution over the grid. It is specifically designed for processing large-scale images in a distributed environment. In addition to the architecture, we also present its application to the computer-aided neuroblastoma prognosis as well as performance evaluation of the developed system using digitized pathological images.",

keywords = "Grid, Neuroblastoma",

author = "Cambazoglu, \{Berkant Barla\} and Olcay Sertel and Jun Kong and Joel Saltz and Gurcan, \{Metin N.\} and Catalyurek, \{Umit V.\}",

year = "2007",

doi = "10.1145/1273404.1273408",

language = "English",

isbn = "1595937145",

series = "Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07",

pages = "35--41",

booktitle = "Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07",

note = "16th International Symposium on High Performance Distributed Computing 2007, HPDC'07 and Co-Located Workshops ; Conference date: 25-06-2007 Through 29-06-2007",

}

Cambazoglu, BB, Sertel, O, Kong, J, Saltz, J, Gurcan, MN & Catalyurek, UV 2007, Efficient processing of pathological images using the grid: Computer-aided prognosis of neuroblastoma. in Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07. Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07, pp. 35-41, 16th International Symposium on High Performance Distributed Computing 2007, HPDC'07 and Co-Located Workshops, Monterey, CA, United States, 06/25/07. https://doi.org/10.1145/1273404.1273408

Efficient processing of pathological images using the grid: Computer-aided prognosis of neuroblastoma. / Cambazoglu, Berkant Barla; Sertel, Olcay; Kong, Jun et al.
Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07. 2007. p. 35-41 (Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07).

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

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AU - Kong, Jun

AU - Saltz, Joel

AU - Gurcan, Metin N.

AU - Catalyurek, Umit V.

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AB - This paper presents a generalizable architecture for a grid-enabled biomedical imaging application, used for processing of pathological images for computer-aided prognosis. The presented architecture provides the scientists and developers a collaborative environment for management of remote image data and algorithm repositories and job execution over the grid. It is specifically designed for processing large-scale images in a distributed environment. In addition to the architecture, we also present its application to the computer-aided neuroblastoma prognosis as well as performance evaluation of the developed system using digitized pathological images.

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Cambazoglu BB, Sertel O, Kong J, Saltz J, Gurcan MN, Catalyurek UV. Efficient processing of pathological images using the grid: Computer-aided prognosis of neuroblastoma. In Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07. 2007. p. 35-41. (Proceedings of the 5th IEEE Workshop on Challenges of Large Applications in Distributed Environments, CLADE'07). doi: 10.1145/1273404.1273408

Efficient processing of pathological images using the grid: Computer-aided prognosis of neuroblastoma

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