MICAD2021 : The 2nd International Conference on Medical Imaging and Computer-Aided Diagnosis

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.

MICAD will provides a forum for the dissemination of new research results in the field of medical & biological imaging and computer-aided diagnosis, with special emphasis on efforts related to the applications of computer vision, virtual reality, machine learning, artificial intelligence and robotics. The conference publishes the highest quality, original papers that contribute to the basic science of processing, analysing and utilizing methods for these purposes.

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

Email: cfp@micad.org