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MICAD2020 : The 2nd International Conference on Medical Imaging and Computer-Aided Diagnosis

Birmingham, United Kingdom
Event Date: Mar 25, 2021 - Mar 26, 2021
Abstract Submission Deadline: Nov 30, 2020
Submission Deadline: Dec 30, 2020
Notification of Acceptance: Jan 20, 2021

About

MICAD is an annual conference which aims to provide a communication platform for top scholars, engineers, scientists, as well as graduate students to share ideas and discuss the latest technology in medical imaging and computer-aided diagnosis or related fields such as artificial intelligence and machine learning, to encourage growth, raising the profile of this multidisciplinary field with an ever increasing real world applicability
 

Call For Paper

The list of topics:

Medical Imaging

  • Optical and Photo-acoustic Imaging
  • Image Analysis and Signal Processing
  • Shape Representation and Analysis
  • Image Reconstruction
  • Imaging and Genomics
  • Image Guided Surgery
  • Image-Guided Interventions and Surgery
  • Image Registration and Fusion
  • Image Acquisition Methods and Devices
  • Computational Physiology
  • Data Visualization
  • Statistical and Mathematical Models
  • Radiography
  • Magnetic Resonance Imaging (MRI)
  • Nuclear medicine
  • Positron emission tomography (PET)
  • Ultrasonography
  • Computed tomography (CT)
  • Neuroimaging
  • Cardiac imaging
  • Molecular Imaging
  • Pathology imaging
  • High-resolution computed tomography
  • Computational Anatomy and Physiology
  • Applications of Big Data in Imaging
  • Visualisation in Biomedical Imaging
  • Interventional Imaging Systems
  • Interventional Tracking and Navigation
  • RFID Solutions for Healthcare

Computer Aided Diagnosis

  • Segmentation
  • Pattern recognition
  • Feature extraction
  • Classifier design
  • Machine learning including deep learning
  • Radiomics
  • CAD workstation design
  • Human-computer interaction
  • Augmented and Virtual Reality
  • Databases, and performance evaluation
  • Medical Robotics and Haptics
  • Surgical Visualization
  • Image-Guided Interventions and Surgery
  • Machine Learning and Artificial Intelligence
  • Cloud Computing and Big Data for Healthcare
  • Others about Photonics

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