Significance of Noise Reduction in Medical Datasets for Accurate Diagnosis

Bhawna Goyal, Ayush Dogra, Sunil Agrawal and Sohi Bs
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Bhawna Goyal: Department Of Electronics & Communications, Uiet, Panjab University
Ayush Dogra: Department Of Electronics & Communications, Uiet, Panjab University
Sunil Agrawal: Department Of Electronics & Communications, Uiet, Panjab University
Sohi Bs: Pro- Vice Chancellor, Chandigarh University, India

Biostatistics and Biometrics Open Access Journal, 2017, vol. 3, issue 3, 64-65

Abstract: Noise reduction or noise elimination is a challenging task in non-invasive radiological technologies such as Positron Emission Tomography (PET), Magnetic Resonance Imaging (MRI), Computed Tomography (CT), Digital Subtraction Angiography (DSA) and X-Ray [1]. Image denoising is a pre-processing task for the better visualization and interpretation of the medical data.

Keywords: Biometrics Open Access Journal; Biostatistics and Biometrics; Biostatistics and Biometrics Open Access Journal; Open Access Journals; biometrics journal; biometrics articles; biometrics journal reference; biometrics journal impact factor; biometrics and biostatistics journal impact factor; journal of biometrics; open access juniper publishers; juniper publishers reivew (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:adp:jbboaj:v:3:y:2017:i:3:p:64-65

DOI: 10.19080/BBOAJ.2017.03.555611

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