RNN-AHF Framework: Enhancing Multi-focal Nature of Hypoxic Ischemic Encephalopathy Lesion Region in MRI Image Using Optimized Rough Neural Network Weight and Anti-Homomorphic Filter

The proposed RNN-AHF framework achieves a lesion image enhancement and classification accuracy of approximately 93.5%, which is better than traditional algorithms.

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Publication Details

Journal
Current Medical Imaging Formerly Current Medical Imaging Reviews
Published
2025-06-02
DOI
https://doi.org/10.2174/0115734056396299250506075133
Primary Topic
Neonatal and fetal brain pathology
Type
article
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article

RNN-AHF Framework: Enhancing Multi-focal Nature of Hypoxic Ischemic Encephalopathy Lesion Region in MRI Image Using Optimized Rough Neural Network Weight and Anti-Homomorphic Filter

R. Muthucumaraswamy, K. Anitha, M. Thangeswari, N. R. Shanker
Current Medical Imaging Formerly Current Medical Imaging Reviews
Neonatal and fetal brain pathology
article

RNN-AHF Framework: Enhancing Multi-focal Nature of Hypoxic Ischemic Encephalopathy Lesion Region in MRI Image Using Optimized Rough Neural Network Weight and Anti-Homomorphic Filter

R. Muthucumaraswamy, K. Anitha, M. Thangeswari, N. R. Shanker
article en

Abstract

The proposed RNN-AHF framework achieves a lesion image enhancement and classification accuracy of approximately 93.5%, which is better than traditional algorithms.

Current Medical Imaging Formerly Current Medical Imaging ReviewsVol. 21
Anna University, Chennai (IN), Amrita Vishwa Vidyapeetham (IN)
Openalex Percentile: Top 83%
Neonatal and fetal brain pathology
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