Automated brain tumour segmentation from multi-modality magnetic resonance imaging data based on new particle swarm optimisation segmentation method.

Journal: The international journal of medical robotics + computer assisted surgery : MRCAS
Published Date: Dec 12, 2022

Abstract

BACKGROUND: Segmentation of brain tumours is a complex problem in medical image processing and analysis. It is a time-consuming and error-prone task. Therefore, computer-aided detection systems need to be developed to decrease physicians' workload and improve the accuracy of segmentation.

Authors

  • Wafa Gtifa
    Laboratory of Automation and Electrical Systems and Environment, Monastir National School of Engineers (ENIM), University of Monastir, Monastir, Tunisia.
  • Fayçal Hamdaoui
    Electrical Department, National Engineering School of Monastir (ENIM), Laboratory of Control, Electrical Systems and Environment (LASEE), National Engineering School of Monastir (ENIM), University of Monastir, Monastir, Tunisia.
  • Anis Sakly
    Research Unit of Industrial Systems Study and Renewable Energy (ESIER), National Engineering School of Monastir (ENIM), 5019 Monastir, Tunisia.

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