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Birmingham, United Kingdom of Great Britain and Northern Ireland
Introduction MICAD2021 will be held during 25-26 March 2021 in Birmingham, UK. 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. The MICAD2020 has been held successfully during 20-21 January 2020 in Oxford, UK. The proceeding of MICAD2020 is going to be published with Springer in their "Lecture Notes in Electrical Engineering (LNEE)" (ISSN: 1876-1100), and submitted to the ISI Proceedings, EI-Compendex, SCOPUS, MetaPress, Web of Science and Springerlink for indexing.
Proceedings Accepted papers will be included into MICAD2021 Conference Proceedings which will be published and submitted to online database. Those papers will be submitted for indexing to EI-Compendex, WoS and Scopus.
Topics MICAD welcomes author submission of papers concerning any branch of the Medical Imaging and Computer-aided Diagnosis, and their applications other subjects. 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
