"Machine-learning-based clinical plaque detection using a synthetic plaque ..."

Nikolas Schnellbächer et al. (2021)

> Home

Details and statistics

DOI: 10.1117/12.2582195

access: closed

type: Conference or Workshop Paper

metadata version: 2024-11-27

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/micad/SchnellbacherRN21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/micad/SchnellbacherRN21
Nikolas Schnellbächer, Haissam Ragab, Hannes Nickisch, Tobias Wissel, Clemens Spink, Gunnar Lund, Michael Grass:
Machine-learning-based clinical plaque detection using a synthetic plaque lesion model for coronary CTA. Computer-Aided Diagnosis 2021

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.