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    MICAD 2020 - 2020年医学图像与计算机辅助诊断国际会议

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    Website http://www.micad.org | Want to Edit it Edit Freely

    Category 医学图像;医疗诊断;计算机辅助诊断;人工智能

    Deadline: December 27, 2019 | Date: January 20, 2020-January 21, 2020

    Venue/Country: 牛津大学三一学院, U.K.

    Updated: 2019-09-17 14:30:41 (GMT+9)

    Call For Papers - CFP

    一、 会议简介

    2020年医学图像与计算机辅助诊断国际会议The 2020 International Conference on Medical Imaging and Computer-Aided Diagnosis(MICAD2020)将于1月20-21日在英国牛津举办。

    MICAD作为年度学术盛会,将汇集国际知名专家、学者、科学家,聚焦医学图像、CAD、人工智能、机器学习等前沿领域,探讨最新研究成果及技术趋势,搭建国际性学术交流平台。

    会议时间:2020年1月20-21日

    会议地点:Danson Room, Trinity College, Oxford OX1 3BH, UK

    二、 出版支持

    本次会议经同行专家评审后录用并注册的文章,将安排在Springer 论文集 《Lecture Notes in Electrical Engineering (LNEE)》(ISSN: 1876-1100) 出版,并收录在Springer link中,最终提交至EI、ISI Proceedings、SCOPUS、WoS等主要检索数据库。

    三、 会议主题

    包括但不限于:

    医学影像;图像处理;计算机辅助诊断;图像识别;人机交互;图像信息;数字模拟;机器学习;人工智能;大数据及云计算;生物医学在成像方面的应用;

    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

    联系方式

    官网:www.micad.org

    座机:024-83959379-812

    邮箱:cfpatmicad.org

    QQ: 2641394429


    Keywords: Accepted papers list. Acceptance Rate. EI Compendex. Engineering Index. ISTP index. ISI index. Impact Factor.
    Disclaimer: ourGlocal is an open academical resource system, which anyone can edit or update. Usually, journal information updated by us, journal managers or others. So the information is old or wrong now. Specially, impact factor is changing every year. Even it was correct when updated, it may have been changed now. So please go to Thomson Reuters to confirm latest value about Journal impact factor.