The 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD2020)

Country: United Kingdom

City: Oxford

Abstr. due: 27.12.2020

Dates: 20.01.20 — 21.01.20

Area Of Sciences: Computer science;

Organizing comittee e-mail:

Organizers: X-academy


  1. Introduction

The 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis (MICAD 2020) will be held during January 20-21 2020 in Oxford, UK.

MICAD is an annually-held conference which aims to provide a communication platform for top technology leaders, scholars, engineers, scientists, leading industry leaders as well as graduate students to share ideas and discuss the latest technology in Medical imaging and Computer-aided diagnosis or related fields. The conference offers keynote speeches, invited speeches, oral presentation sessions, poster sessions, exhibitions and other forms of communication and information exchange. Authors are invited to submit original and not published papers describing new technologies and trends about Intelligent Medical imaging and Computer-aided diagnosis.


  1. Proceedings

The conference proceedings will be published in Springer book series "Lecture Notes in Electrical Engineering (LNEE)" (ISSN: 1876-1100). This book series publishes the latest developments in relative fields - quickly, informally and in high quality. This permits a rapid and broad dissemination of research results.

Indexing: The books of this series are submitted to ISI Proceedings, EI-Compendex, SCOPUS, MetaPress, Web of Science and Springerlink.


  1. 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

Image Processing

Computer-Aided Diagnosis

Image-Guided Procedures

Robotic Interventions

Image Perception, Observer Performance

Imaging Informatics for Healthcare, Research, and Applications

Digital Pathology

Biomedical Applications in Molecular, Structural, and Functional Imaging

Machine learning, Artificial intelligence

Cloud Computing and Big Data for Healthcare

Computational Physiology

Ultrasonic Imaging and Tomography

Conference Web-Site: