ArticleEntropy (Basel, Switzerland)2018
A New Local Fractional Entropy-Based Model for Kidney MRI Image Enhancement.
Article in Entropy (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 42 citations in OpenAlex.
- Improvement of medical images with multi-objective genetic algorithm and adaptive morphological transformations.Scientific reports · 2025Article
- A new X-ray images enhancement method using a class of fractional differential equation.MethodsX · 2023Article
- Multi-class deep learning architecture for classifying lung diseases from chest X-Ray and CT images.Scientific reports · 2023Article
- Variational Approach for Joint Kidney Segmentation and Registration from DCE-MRI Using Fuzzy Clustering with Shape Priors.Biomedicines · 2022Article
- Kidney segmentation from DCE-MRI converging level set methods, fuzzy clustering and Markov random field modeling.Scientific reports · 2022Article
- Level-Set-Based Kidney Segmentation from DCE-MRI Using Fuzzy Clustering with Population-Based and Subject-Specific Shape Statistics.Bioengineering (Basel, Switzerland) · 2022Article
- Mathematical model based on fractional trace operator for COVID-19 image enhancement.Journal of King Saud University. Science · 2022Article
- A medical image enhancement based on generalized class of fractional partial differential equations.Quantitative imaging in medicine and surgery · 2022Article
- Efficient classification of COVID-19 CT scans by using q-transform model for feature extraction.PeerJ. Computer science · 2021Article
- Classification of Covid-19 Coronavirus, Pneumonia and Healthy Lungs in CT Scans Using Q-Deformed Entropy and Deep Learning Features.Entropy (Basel, Switzerland) · 2020Article
- FUSI-CAD: Coronavirus (COVID-19) diagnosis based on the fusion of CNNs and handcrafted features.PeerJ. Computer science · 2020Article
- Analytic Study of Complex Fractional Tsallis' Entropy with Applications in CNNs.Entropy (Basel, Switzerland) · 2018Article
- An Adaptive Weight Method for Image Retrieval Based Multi-Feature Fusion.Entropy (Basel, Switzerland) · 2018Article
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Authors and funding
6 authors at 2 institutions in 2 countries.
Funding
Abstract
Kidney image enhancement is challenging due to the unpredictable quality of MRI images, as well as the nature of kidney diseases. The focus of this work is on kidney images enhancement by proposing a new Local Fractional Entropy (LFE)-based model. The proposed model estimates the probability of pixels that represent edges based on the entropy of the neighboring pixels, which results in local fractional entropy. When there is a small change in the intensity values (indicating the presence of edge in the image), the local fractional entropy gives fine image details. Similarly, when no change in intensity values is present (indicating smooth texture), the LFE does not provide fine details, based on the fact that there is no edge information. Tests were conducted on a large dataset of different, poor-quality kidney images to show that the proposed model is useful and effective. A comparative study with the classical methods, coupled with the latest enhancement methods, shows that the proposed model outperforms the existing methods.
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