logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Biomedical Image Registration Domain Generalisation And Outofdistribution Analysis Marc Aubreville

  • SKU: BELL-47221236
Biomedical Image Registration Domain Generalisation And Outofdistribution Analysis Marc Aubreville
$ 31.00 $ 45.00 (-31%)

5.0

28 reviews

Biomedical Image Registration Domain Generalisation And Outofdistribution Analysis Marc Aubreville instant download after payment.

Publisher: Springer
File Extension: PDF
File size: 32.97 MB
Pages: 194
Author: Marc Aubreville, David Zimmerer, Mattias Heinrich
ISBN: 9783030972806, 3030972801
Language: English
Year: 2022

Product desciption

Biomedical Image Registration Domain Generalisation And Outofdistribution Analysis Marc Aubreville by Marc Aubreville, David Zimmerer, Mattias Heinrich 9783030972806, 3030972801 instant download after payment.

This book constitutes three challenges that were held in conjunction with the 24th International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2021, which was planned to take place in Strasbourg, France but changed to an online event due to the COVID-19 pandemic.

The peer-reviewed 18 long and 9 short papers included in this volume stem from the following three biomedical image analysis challenges:

  •          Mitosis Domain Generalization Challenge (MIDOG 2021),
  •          Medical Out-of-Distribution Analysis Challenge (MOOD 2021), and
  •          Learn2Reg (L2R 2021).

The challenges share the need for developing and fairly evaluating algorithms that increase accuracy, reproducibility and efficiency of automated image analysis in clinically relevant applications.


Related Products