Feature and Intensity Based Medical Image Registration Using Particle Swarm Optimization

Faculty Computer Science Year: 2017
Type of Publication: ZU Hosted Pages:
Authors:
Mohammed Abdel Basset Metwally Attia
Journal: Journal of Medical Systems Springer Volume: vol 41
Keywords : Feature , Intensity Based Medical Image Registration    
Abstract:
Image registration is an important aspect in medical image analysis, and kinds use in a variety of medical applications. Examples include diagnosis, pre/post surgery guidance, comparing/merging/integrating images from multi-modal like Magne
    
     
 
       

Author Related Publications

  • Mohammed Abdel Basset Metwally Attia, "Discrete greedy flower pollination algorithm for spherical traveling salesman problem", Springer, 2019 More
  • Mohammed Abdel Basset Metwally Attia, "A New Hybrid Flower Pollination Algorithm for Solving Constrained Global Optimization Problems", Natural Sciences Publishing Cor., 2014 More
  • Mohammed Abdel Basset Metwally Attia, "A novel equilibrium optimization algorithm for multi-thresholding image segmentation problems", Springer London, 2021 More
  • Mohammed Abdel Basset Metwally Attia, "An efficient binary slime mould algorithm integrated with a novel attacking-feeding strategy for feature selection", Pergamon, 2021 More
  • Mohammed Abdel Basset Metwally Attia, "An efficient teaching-learning-based optimization algorithm for parameters identification of photovoltaic models: Analysis and validations", Pergamon, 2021 More

Department Related Publications

  • Abdallah Gamal abdallah mahmoud, "A Group Decision Making Framework Based on Neutrosophic TOPSIS Approach for Smart Medical Device Selection", Springer US, 2019 More
  • Zaher Awad Aboelenieen Elhendy, "NEW APPROACH TO IMAGE EDGE DETECTION BASED ON QUANTUM ENTROPY", JOURNAL OF RUSSIAN LASER RESEARCH, 2016 More
  • Ibrahiem Mahmoud Mohamed Elhenawy, "Improving crisis events detection using distilbert with hunger games search algorithm", MDPI, 2022 More
  • Ahmed Salah Mohamed Mostafa, "CUDAQuat : new parallel framework for fast computation of quaternion moments for color images applications", Springer, 2021 More
  • Amr Mohammed Abdel Latif Emam, "CUDAQuat : new parallel framework for fast computation of quaternion moments for color images applications", Springer, 2021 More
Tweet