Radiomics and deep learning characterisation of liver malignancies in CT images - A systematic review.

Journal: Computers in biology and medicine
Published Date: Jun 3, 2025

Abstract

BACKGROUND: Computed tomography (CT) has been widely used as an effective tool for liver imaging due to its high spatial resolution, and ability to differentiate tissue densities, which contributing to comprehensive image analysis. Recent advancements in artificial intelligence (AI) promoted the role of Machine Learning (ML) in managing liver cancers by predicting or classifying tumours using mathematical algorithms. Deep learning (DL), a subset of ML, expanded these capabilities through convolutional neural networks (CNN) that analyse large data automatically. This review examines methods, achievements, limitations, and performance outcomes of ML-based radiomics and DL models for liver malignancies from CT imaging.

Authors

  • Bappah Suleiman Yahaya
    Department of Biomedical Imaging, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, Pulau Penang, 13200, Malaysia; Department of Radiography and Radiation Sciences, Faculty of Allied Health Sciences, Federal University of Health Sciences Azare, Nigeria.
  • Noor Diyana Osman
    Department of Biomedical Imaging, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, Pulau Penang, 13200, Malaysia; Advanced Management of Liver Malignancies Research Program, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia. Electronic address: noordiyana@usm.my.
  • Noor Khairiah A Karim
    Department of Biomedical Imaging, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, Pulau Penang, 13200, Malaysia; Advanced Management of Liver Malignancies Research Program, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia.
  • Gokula Kumar Appalanaido
    Department of Biomedical Imaging, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, Pulau Penang, 13200, Malaysia; Advanced Management of Liver Malignancies Research Program, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Penang, Malaysia.
  • Iza Sazanita Isa
    Faculty of Electrical Engineering, Universiti Teknologi MARA, Penang Campus, Permatang Pauh, Pulau Pinang, 13500, Malaysia.

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