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Complexity-Based Analysis In Biomedical Image Analysis: A Review

Author

Listed:
  • NAJMEH PAKNIYAT

    (30 Shore Breeze Drive, Toronto, ON, Canada M8V 0J1, Canada)

  • JAMALUDDIN ABDULLAH

    (��School of Mechanical Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Penang, Malaysia)

  • ONDREJ KREJCAR

    (��Skoda Auto University, Na Karmeli 1457, Mlada Boleslav 293 01, Czech Republic§Malaysia-Japan International Institute of Technology (MJIIT), Universiti Teknologi Malaysia, Kuala Lumpur 54100, Malaysia¶Media and Games Center of Excellence (MagicX), Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia)

  • HAMIDREZA NAMAZI

    (��School of Mechanical Engineering, Universiti Sains Malaysia, Nibong Tebal 14300, Penang, Malaysia‡Skoda Auto University, Na Karmeli 1457, Mlada Boleslav 293 01, Czech Republic)

Abstract

This review paper provides an overview of complexity-based analysis techniques in biomedical image analysis, examining their theoretical foundations, computational methodologies, and practical applications across various medical imaging modalities. Through a synthesis of relevant literature, we explore the utility of complexity-based metrics such as fractal dimension, entropy measures, and network analysis in characterizing the complexity of biomedical images (e.g. magnetic resonance imaging (MRI), computed tomography (CT) scans, X-ray images). Additionally, we discuss the clinical implications of complexity-based analysis in areas such as cancer detection, neuroimaging, and cardiovascular imaging, highlighting its potential to improve diagnostic accuracy, prognostic assessment, and treatment outcomes. The review concludes that complexity-based analysis significantly enhances the interpretability and diagnostic power of biomedical imaging, paving the way for more personalized and precise medical care. By elucidating the role of complexity-based analysis in biomedical image analysis, this review aims to provide insights into current trends, challenges, and future directions in this rapidly evolving field.

Suggested Citation

  • Najmeh Pakniyat & Jamaluddin Abdullah & Ondrej Krejcar & Hamidreza Namazi, 2024. "Complexity-Based Analysis In Biomedical Image Analysis: A Review," FRACTALS (fractals), World Scientific Publishing Co. Pte. Ltd., vol. 32(06), pages 1-12.
    • Handle: RePEc:wsi:fracta:v:32:y:2024:i:06:n:s0218348x24300022
    DOI: 10.1142/S0218348X24300022
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