bokomslag Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging
Data & IT

Medical Computer Vision and Bayesian and Graphical Models for Biomedical Imaging

Henning Mller William M Wells Iii B Michael Kelm Tal Arbel Weidong Cai

Pocket

789:-

Funktionen begränsas av dina webbläsarinställningar (t.ex. privat läge).

Uppskattad leveranstid 10-16 arbetsdagar

Fri frakt för medlemmar vid köp för minst 249:-

  • 222 sidor
  • 2017
This book constitutes the thoroughly refereed post-workshop proceedings of the International Workshop on Medical Computer Vision, MCV 2016, and of the International Workshop on Bayesian and grAphical Models for Biomedical Imaging, BAMBI 2016, held in Athens, Greece, in October 2016, held in conjunction with the 19th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2016. The 13 papers presented in MCV workshop and the 6 papers presented in BAMBI workshop were carefully reviewed and selected from numerous submissions. The goal of the MCV workshop is to explore the use of "big data algorithms for harvesting, organizing and learning from large-scale medical imaging data sets and for general-purpose automatic understanding of medical images. The BAMBI workshop aims to highlight the potential of using Bayesian or random field graphical models for advancing research in biomedical image analysis.
  • Författare: Henning Mller, William M Wells Iii, B Michael Kelm, Tal Arbel, Weidong Cai
  • Illustratör: Bibliographie
  • Format: Pocket/Paperback
  • ISBN: 9783319611877
  • Språk: Engelska
  • Antal sidor: 222
  • Utgivningsdatum: 2017-07-04
  • Förlag: Springer International Publishing AG