Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures

Released on by Hayit Greenspan
preview-18

  • Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures Book Detail

  • Author : Hayit Greenspan
  • Release Date : 2019-10-10
  • Publisher : Springer Nature
  • Genre : Computers
  • Pages : 192
  • ISBN 13 : 3030326896
  • File Size : 63,63 MB
DOWNLOAD BOOK

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures by Hayit Greenspan PDF Summary

Book Description: This book constitutes the refereed proceedings of the First International Workshop on Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, UNSURE 2019, and the 8th International Workshop on Clinical Image-Based Procedures, CLIP 2019, held in conjunction with MICCAI 2019, in Shenzhen, China, in October 2019. For UNSURE 2019, 8 papers from 15 submissions were accepted for publication. They focus on developing awareness and encouraging research in the field of uncertainty modelling to enable safe implementation of machine learning tools in the clinical world. CLIP 2019 accepted 11 papers from the 15 submissions received. The workshops provides a forum for work centred on specific clinical applications, including techniques and procedures based on comprehensive clinical image and other data.

Disclaimer: www.yourbookbest.com does not own Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image-Based Procedures books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.