2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD2020) which was held in Oxford, UK during January 20-21, 2020. 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.
Many people have collaborated and worked hard to produce the successful MICAD2020 conference. First, we would like to thank all the authors for submitting their papers to the conference, for their presentations and discussions during the conference. Our thanks go to program committee members and reviewers, who carried out the most difficult work by carefully evaluating the submitted papers. Our special thanks to Yu-Dong Zhang, University of Leicester, UK, Manuchehr Soleimani, University of Bath, UK, Richard Jiang, Lancaster University, UK, and Edwin Abdurakman, City, University of London, UK, for the exciting keynote talks. We express our sincere thanks to the organizing committee chairs for helping us to formulate a rich technical program.
MICAD2020 received submissions from 12 countries, in total, 56 full papers and 11 abstracts (the latter not considered for inclusion in this volume), and each paper was reviewed by at least three reviewers in a standard peer-review process. Based on the recommendation by three independent referees, finally 24 papers were accepted for MICAD2020 (acceptance rate of 45%).
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.