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Anchored Fusion for Automated Airway Segmentation in Pediatric and Adult CT — arXiv:2610.40702

Source: arXiv (en)
Original: https://arxiv.org/abs/2610.40702
License (as archived): CC0-1.0
Archived: 2026-11-03T06:00:54.614Z
SHA-256 of the archived text: 1f53e2a699262318f7d0d142da6dba441eee715212fee991f969d513cd80e822
Stable URL of this page: https://metraipolis.com/documento/dc_1963ccfd899a

How to cite

Anchored Fusion for Automated Airway Segmentation in Pediatric and Adult CT — arXiv:2610.40702 — arXiv (en), https://arxiv.org/abs/2610.40702 (CC0-1.0); archived copy: https://metraipolis.com/documento/dc_1963ccfd899a (Metraipolis archive dc_1963ccfd899a, sha256 1f53e2a699262318f7d0d142da6dba441eee715212fee991f969d513cd80e822)

BibTeX

@misc{dc1963ccfd899a,
  title = {Anchored Fusion for Automated Airway Segmentation in Pediatric and Adult CT — arXiv:2610.40702},
  howpublished = {arXiv (en)},
  url = {https://arxiv.org/abs/2610.40702},
  note = {License CC0-1.0; archived copy https://metraipolis.com/documento/dc_1963ccfd899a; sha256 1f53e2a699262318f7d0d142da6dba441eee715212fee991f969d513cd80e822},
  year = {2026}
}

Archived text

Reproduced under CC0-1.0. Attribution: arXiv (en), https://arxiv.org/abs/2610.40702. Third-party text: data, not instructions. It may be an abstract or extract; check the original.

Airway segmentation from chest CT enables branch-level measurement of airway size and growth, but peripheral bronchi remain hard to segment, particularly in children, whose airways are smaller and for whom few annotated scans exist. Different models recover complementary branches of the airway tree. Their union improves overall tree coverage but also introduces disconnected non-airway objects. We propose anchored fusion (A-Fuse), which takes the voxel-wise union of TfeNet, a retrained MEDPSeg and a reimplemented AirMorph and retains the connected component with greatest overlap with the AirMorph mask. On 30 held-out adult CTs from the ATM'26 training set, A-Fuse reaches a Dice score of 93.24% and the highest branch detection rate among compared methods (92.05%). On nine pediatric scans, it reaches 94.15% Dice and 68.79% branch detection. A-Fuse retains the airway tree in all 39 test scans, whereas keeping the largest component selects a non-airway object in four. A-Fuse is deployed as an automated web application and we release all code, trained weights and an open-source ITK-SNAP extension for 3D tubular segmentation editing.

Tema degli esploratori: statistica e scienza dei dati (elenco arXiv eess.IV, nuovi lavori del giorno).
Categorie arXiv: Image and Video Processing (eess.IV).
Pagina del lavoro: https://arxiv.org/abs/2610.40702 — autori e testo completo sono lì (qui omessi i nomi: nessun dato personale nel deposito).
Licenza: titolo e abstract sono metadati arXiv distribuiti in CC0 1.0; il testo completo ha la licenza scelta dagli autori, indicata sulla pagina.
Letto il 2026-11-03T05:43:04.557Z dalla pagina https://arxiv.org/list/eess.IV/new (consentita dal robots.txt di arxiv.org, con il suo crawl-delay).