Landmark-based segmentation of lungs while handling partial correspondences using sparse graph-based priors
type: Dataset
description: International audience
issued: 2026-05-09T22:59:49.549684
language: en
modified: 2026-05-09T22:59:49.549689
contact point: Organization
  fn: CCSD
keyword: conference-papers
keyword: infoeu-reposemanticsconferenceobject
keyword: infoinfo-imcomputer-science-csmedical-imaging
landing page: From Nano to Macro

Landmark-based segmentation of lungs while handling partial correspondences using sparse graph-based priors
type: Distribution
format: HTML
issued: 2026-05-09T22:59:49.552604
modified: 2026-05-09T22:59:49.544275
access URL: https://hal.science/hal-00856125

test_moissonnage_selune
type: Agent