Human Vision Inspired Technique Applied to Detect Suspicious Masses in Mammograms

Dr. Ehsan Kamrani

Human Vision Inspired Technique Applied to Detect Suspicious Masses in Mammograms

Dr. Ehsan Kamrani * § Ph.D.

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§ Ecole Polytechnique, Montreal, Canada; and Harvard U...

Human Vision Inspired Technique Applied to Detect Suspicious Masses in Mammograms

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References

4 Cites in Article

Reference Format

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. Kamrani. 2012. "Human Vision Inspired Technique Applied to Detect Suspicious Masses in Mammograms". Global Journal of Computer Science and Technology, 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

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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

Classification

GJCST-F Classification FOR Code: I.4

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

Version of record

v1.2

Issue date

June 20, 2012

Language

English

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Article Matrices

Total Score: 176

Country: United States

Subject: Global Journal of Computer Science and Technology

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

View Count (all-time): 363

Total Views (Real + Logic): 2400

Total Downloads (simulated): 209

Publish Date: 2012 03, Thu

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Total Views: 2.4K

Total Downloads: 209

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