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An Enhanced Measurement of Epicardial Fat Segmentation and Severity Classification using Modified U-Net and FOA-guided XGBoost

K Rajalakshmi

K Rajalakshmi

Department of Artificial Intelligence and Data Science, Kamaraj College of Engineering and TechnologyIndia
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Rajalakshmi, K
 and 
S Palanivel Rajan

S Palanivel Rajan

Department of Electronics and Communication Engineering, Velammal College of Engineering and TechnologyMadurai, India
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Palanivel Rajan, S
  
Jun 07, 2025
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Published Online: Jun 07, 2025
Page range: 93 - 99
Received: Jun 23, 2024
Accepted: Apr 15, 2025
DOI: https://doi.org/10.2478/msr-2025-0012
Keywords
© 2025 K Rajalakshmi et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Rajalakshmi, K
Department of Artificial Intelligence and Data Science, Kamaraj College of Engineering and TechnologyIndia
Palanivel Rajan, S
Department of Electronics and Communication Engineering, Velammal College of Engineering and TechnologyMadurai, India
Language:
English
Publication timeframe:
6 times per year
Journal Subjects:
Engineering, Electrical Engineering, Control Engineering, Metrology and Testing
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