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

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

MICAD2020

Date of beginning

Monday, 20 January 2020

Duration

2 days

Deadline for abstracts

Friday, 27 December 2019

City

Oxford

Country

UK

Contact

Dora

E-Mail

This email address is being protected from spambots. You need JavaScript enabled to view it.

Expected participants

50

Memo

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.   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.   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