Modified Multi-Wavelet Noise Filtering Algorithm for Mammographic Image Denoising Using Recurrent Neural Network

Swapnil Tamrakar; Abha Choubey; Siddhartha Choubey

Modified Multi-Wavelet Noise Filtering Algorithm for Mammographic Image Denoising Using Recurrent Neural Network

Swapnil Tamrakar * §

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Abha Choubey

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Siddhartha Choubey

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§ C.S.V.T.U.

Modified Multi-Wavelet Noise Filtering Algorithm for Mammographic Image Denoising Using Recurrent Neural Network

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Abstract

The digital mammographic images are affected by several types of noises which require filters to denoise the noise level. This will help the medical practitioner to enhance the image quality of the mammograms and helps them in giving accurate diagnosis. There are so many works on image denoising technique but there are not much which gives emphasis on the mammographic images. . In application point of view medical images are classified as Multispectral Image (used for satellite surveillance), RGB standard colour scheme Image or other digital versions of the film image i.e., in our case its mammographic image. For every image type it requires different approach for denoising because in each type of image, it contains different factors in it. In denoising the mammographic image , the filtering technique that is to be applied depend on its noises at each resolution level of the microns to make the micro-classification of the cancerous tissues to that of the bright water dense patches caused by the calcium salts in the mammary glands. Thus, any single algorithm cannot provide similar performance range for different types of noise because not every method is effective for the scenario of mammographic image denoising. In the given study we have shown a method for the mammographic image denoising which is having higher accuracy and the performance range is suited for denoising applications.raphic image denoising.

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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

Swapnil Tamrakar, Abha Choubey, Siddhartha Choubey. 2015. "Modified Multi-Wavelet Noise Filtering Algorithm for Mammographic Image Denoising Using Recurrent Neural Network". Global Journal of Computer Science and Technology - G: Interdisciplinary GJCST-G Volume 15 (GJCST Volume 15 Issue G1).

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GJCST Volume 15 Issue G1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

GJCST-G Classification F.1.1

I.2

Submission ReceivedApril 12, 2015
Peer Review Double Blind
Handling Editor
Accepted May 2, 2015
Published May 15, 2015

Version of record

v1.2

Issue date

June 18, 2015

Language

English

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Article Matrices

Total Score: 143

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Swapnil Tamrakar, Abha Choubey, Siddhartha Choubey (PhD/Dr. count: 0)

View Count (all-time): 414

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Publish Date: 2015 05, Fri

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