Edge detection for brain tumor pattern recognition

Riries Rulaningtyas; Khusnul Ain

doi:10.1109/ICICI-BME.2009.5417299

Edge detection for brain tumor pattern recognition

Riries Rulaningtyas, Khusnul Ain

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

14 Citations (Scopus)

Abstract

Brain tumor diagnosis is done by doctors. For detecting brain tumor grading always gives different conclusion between one doctor to another. For helping doctors diagnose brain tumor grading, this research made a software with edge detections method, so it could give edge pattern of brain and brain tumor itself. Edge detection of brain tumor in this research is the first step for brain tumor grading research. This research found the best edge detection method for brain tumor detecting between Robert, Prewitt, and Sobel method. From these three methods, Sobel method is suitable with case of brain tumors detecting. Sobel method had smaller deviation standard value than two others edge detection method.

Original language	English
Title of host publication	International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009
DOIs	https://doi.org/10.1109/ICICI-BME.2009.5417299
Publication status	Published - 2009
Externally published	Yes
Event	International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009 - Bandung, Indonesia Duration: 23 Nov 2009 → 25 Nov 2009

Publication series

Name	International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009

Conference

Conference	International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009
Country/Territory	Indonesia
City	Bandung
Period	23/11/09 → 25/11/09

Keywords

Brain tumor
Deviation standard
Edge detection

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10.1109/ICICI-BME.2009.5417299

Cite this

Rulaningtyas, R., & Ain, K. (2009). Edge detection for brain tumor pattern recognition. In International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009 Article 5417299 (International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009). https://doi.org/10.1109/ICICI-BME.2009.5417299

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title = "Edge detection for brain tumor pattern recognition",

abstract = "Brain tumor diagnosis is done by doctors. For detecting brain tumor grading always gives different conclusion between one doctor to another. For helping doctors diagnose brain tumor grading, this research made a software with edge detections method, so it could give edge pattern of brain and brain tumor itself. Edge detection of brain tumor in this research is the first step for brain tumor grading research. This research found the best edge detection method for brain tumor detecting between Robert, Prewitt, and Sobel method. From these three methods, Sobel method is suitable with case of brain tumors detecting. Sobel method had smaller deviation standard value than two others edge detection method.",

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language = "English",

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booktitle = "International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009",

note = "International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009 ; Conference date: 23-11-2009 Through 25-11-2009",

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Rulaningtyas, R & Ain, K 2009, Edge detection for brain tumor pattern recognition. in International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009., 5417299, International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009, International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009, Bandung, Indonesia, 23/11/09. https://doi.org/10.1109/ICICI-BME.2009.5417299

Edge detection for brain tumor pattern recognition. / Rulaningtyas, Riries ; Ain, Khusnul.
International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009. 2009. 5417299 (International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009).

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

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AU - Rulaningtyas, Riries

AU - Ain, Khusnul

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AB - Brain tumor diagnosis is done by doctors. For detecting brain tumor grading always gives different conclusion between one doctor to another. For helping doctors diagnose brain tumor grading, this research made a software with edge detections method, so it could give edge pattern of brain and brain tumor itself. Edge detection of brain tumor in this research is the first step for brain tumor grading research. This research found the best edge detection method for brain tumor detecting between Robert, Prewitt, and Sobel method. From these three methods, Sobel method is suitable with case of brain tumors detecting. Sobel method had smaller deviation standard value than two others edge detection method.

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KW - Deviation standard

KW - Edge detection

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DO - 10.1109/ICICI-BME.2009.5417299

M3 - Conference contribution

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SN - 9781424449996

T3 - International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009

BT - International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009

T2 - International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009

Y2 - 23 November 2009 through 25 November 2009

ER -

Rulaningtyas R , Ain K. Edge detection for brain tumor pattern recognition. In International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009. 2009. 5417299. (International Conference on Instrumentation, Communication, Information Technology, and Biomedical Engineering 2009, ICICI-BME 2009). doi: 10.1109/ICICI-BME.2009.5417299

Edge detection for brain tumor pattern recognition

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