Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image Based Procedures is popular PDF and ePub book, written by Hayit Greenspan in 2019-10-10, it is a fantastic choice for those who relish reading online the Computers genre. Let's immerse ourselves in this engaging Computers book by exploring the summary and details provided below. Remember, Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image Based Procedures can be Read Online from any device for your convenience.

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image Based Procedures Book PDF Summary

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.

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

Uncertainty for Safe Utilization of Machine Learning in Medical Imaging and Clinical Image Based Procedures
  • Author : Hayit Greenspan
  • Release : 10 October 2019
  • Publisher : Springer Nature
  • ISBN : 9783030326890
  • Genre : Computers
  • Total Page : 192 pages
  • Language : English
  • PDF File Size : 18,6 Mb

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