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Predictive Intelligence in Medicine

Second International Workshop, PRIME 2019, Held in Conjunction with MICCAI 2019, Shenzhen, China, October 13, 2019, Proceedings

  • Islem Rekik
  • Ehsan Adeli
  • Sang Hyun Park
Conference proceedings PRIME 2019

Part of the Lecture Notes in Computer Science book series (LNCS, volume 11843)

Also part of the Image Processing, Computer Vision, Pattern Recognition, and Graphics book sub series (LNIP, volume 11843)

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Răzvan V. Marinescu, Neil P. Oxtoby, Alexandra L. Young, Esther E. Bron, Arthur W. Toga, Michael W. Weiner et al.
    Pages 1-10
  3. Alina Giger, Christoph Jud, Damien Nguyen, Miriam Krieger, Ye Zhang, Antony J. Lomax et al.
    Pages 11-22
  4. Chiyu Feng, Lili Jin, Chuangyong Xu, Peng Yang, Tianfu Wang, Baiying Lei et al.
    Pages 34-43
  5. Antoine Rivail, Ursula Schmidt-Erfurth, Wolf-Dieter Vogel, Sebastian M. Waldstein, Sophie Riedl, Christoph Grechenig et al.
    Pages 44-52
  6. Kevin P. Nguyen, Cherise Chin Fatt, Alex Treacher, Cooper Mellema, Madhukar H. Trivedi, Albert Montillo
    Pages 53-62
  7. Alexander Katzmann, Alexander Mühlberg, Michael Sühling, Dominik Nörenberg, Stefan Maurus, Julian Walter Holch et al.
    Pages 73-80
  8. Milad Ahmadi, Mohammad Sabokrou, Mahmood Fathy, Reza Berangi, Ehsan Adeli
    Pages 94-104
  9. Ihsan Ullah, Philip Chikontwe, Sang Hyun Park
    Pages 125-133
  10. Haijun Lei, Hancong Li, Ahmed Elazab, Xuegang Song, Zhongwei Huang, Baiying Lei
    Pages 142-150
  11. Robert Holland, Uday Patel, Phillip Lung, Elisa Chotzoglou, Bernhard Kainz
    Pages 151-159
  12. Qifan Yang, Sophia I. Thomopoulos, Linda Ding, Wesley Surento, Paul M. Thompson, Neda Jahanshad et al.
    Pages 160-167
  13. Back Matter
    Pages 177-178

About these proceedings

Introduction

This book constitutes the proceedings of the Second International Workshop on Predictive Intelligence in Medicine, PRIME 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. 

The 18 papers presented in this volume were carefully reviewed and selected for inclusion in this book. The contributions describe new cutting-edge predictive models and methods that solve challenging problems in the medical field for a high-precision predictive medicine. 

Keywords

artificial intelligence classification ct image decision trees dimensionality reduction feature selection fuzzy control fuzzy sets fuzzy systems image processing image reconstruction image segmentation machine learning manifold learning neural networks pattern recognition random forests regression analysis regression model Support Vector Machines (SVM)

Editors and affiliations

  1. 1.BASIRAIstanbul Technical UniversityIstanbulTurkey
  2. 2.Stanford UniversityStanfordUSA
  3. 3.Daegu Gyeongbuk Institute of Science and TechnologyDaeguKorea (Republic of)

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-030-32281-6
  • Copyright Information Springer Nature Switzerland AG 2019
  • Publisher Name Springer, Cham
  • eBook Packages Computer Science
  • Print ISBN 978-3-030-32280-9
  • Online ISBN 978-3-030-32281-6
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site