Human Vision Inspired Technique Applied to Detect Suspicious Masses in Mammograms

Human Vision Inspired Technique Applied to Detect Suspicious Masses in Mammograms

Dr. Ehsan Kamrani Ph.D.

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Polytechnique Montréal

Human Vision Inspired Technique Applied to Detect Suspicious Masses in Mammograms

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References

4 Cites in Article

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E Kandel (2000). Principles of Human NeuroScience.
R Eckhorn (1999). Neural mechanisms of scene segmentation: recordings from the visual cortex suggest basic circuits for linking field models.
J Johnson,M Padgett (1999). PCNN models and applications.
R Gupta,P E Undrill (1995). The use of texture analysis to delineate suspicious masses in mammography.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Dr. Ehsan Kamrani. 2012. \u201cHuman Vision Inspired Technique Applied to Detect Suspicious Masses in Mammograms\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 12 (GJCST Volume 12 Issue F10): .

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GJCST Volume 12 Issue F10
Pg. 33- 35

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Human Vision image processing Mammography NCM Segment Detection

Submission ReceivedFebruary 12, 2012
Peer Review Double Blind
Handling Editor
Accepted March 4, 2012
Published March 15, 2012

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v1.2

Issue date

June 20, 2012

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Article Matrices

Total Score: 106

Country: Unknown

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Dr. Ehsan Kamrani (PhD/Dr. count: 1)

View Count (all-time): 237

Total Views (Real + Logic): 10291

Total Downloads (simulated): 2654

Publish Date: 2012 06, Wed

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Total Views: 10291

Total Downloads: 2654

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