Tumor Prediction in Mammogram using Neural Network

Tumor Prediction in Mammogram using Neural Network

Ms. P.Valarmathi

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Dr. V.Radhakrishnan

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Anna University, Chennai

Tumor Prediction in Mammogram using Neural Network

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Abstract

Detecting micro calcifications -early breast cancer indicators -is visually tough while recognizing malignant tumors is a highly complicated issue. Digital mammography ensures early breast cancer detection through digital mammograms locating suspicious areas with benign/-malignant micro calcifications. Early detection is vital in treatment and survival of breast cancer as there are no sure ways to prevent it. This paper presents a method of tumor prediction based on extracting features from mammogram using Gabor filter with Discrete cosine transform and classify the features using Neural Network.

References

22 Cites in Article

Reference Format

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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

Ms. P.Valarmathi. 2013. \u201cTumor Prediction in Mammogram using Neural Network\u201d. Global Journal of Computer Science and Technology - D: Neural & AI GJCST-D Volume 13 (GJCST Volume 13 Issue D2).

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GJCST Volume 13 Issue D2

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Artificial Neural Network (ANN)Discrete Cosine Transform gabor filter mammograms micro calcifications

Submission ReceivedApril 9, 2013
Peer Review Double Blind
Handling Editor
Accepted April 30, 2013
Published May 15, 2013

Version of record

v1.2

Issue date

May 19, 2013

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - D: Neural & AI

Authors: Ms. P.Valarmathi, Dr. V.Radhakrishnan (PhD/Dr. count: 1)

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Total Views: 9357

Total Downloads: 2560

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