Spinal Cord Image Denoising Using Dncnn Algorithm

Proposed method is better than traditional methods for earlier detection of DH. Po-DnCNN and Ho-FastViat methods give high accuracy of about 98% and 97% compared to traditional methods.

Authors

M. Priya (ORCID: https://orcid.org/0000-0003-2211-3869)
N. R. Shanker
R Jerlin

Institutions

Anna University, Chennai (IN)
Saveetha University (IN)

Publication Details

Journal: Current Medical Imaging Formerly Current Medical Imaging Reviews
Published: 2025-02-28
DOI: https://doi.org/10.2174/0115734056337613241209072322
Citations: 1
Primary Topic: Brain Tumor Detection and Classification
Type: article
Field-Weighted Citation Impact: 0.84

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article

Spinal Cord Image Denoising Using Dncnn Algorithm

M. Priya, N. R. Shanker, R Jerlin

Feb 28, 2025

1 citations

Current Medical Imaging Formerly Current Medical Imaging Reviews

Brain Tumor Detection and Classification

0.84

article

Spinal Cord Image Denoising Using Dncnn Algorithm

M. Priya, N. R. Shanker, R Jerlin

February 28, 2025article en

1 citations

Abstract

Proposed method is better than traditional methods for earlier detection of DH. Po-DnCNN and Ho-FastViat methods give high accuracy of about 98% and 97% compared to traditional methods.

Current Medical Imaging Formerly Current Medical Imaging ReviewsVol. 21

Anna University, Chennai (IN), Saveetha University (IN)

Openalex Percentile: Top 29%

Brain Tumor Detection and Classification

0.84

DOI Open Access PDF OpenAlex

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Spinal Cord Image Denoising Using Dncnn Algorithm — M. Priya, N. R. Shanker, et al. · Current Medical Imaging Formerly Current Medical Imaging Reviews (2025) | TGRS Research Map | TGRS