Rethinking the detail-preserved completion of complex tubular structures based on point cloud: A dataset and a benchmark.

Qi Y, Yang Y, Peng W, Miao S, Hu Y, Yang G

Open source

DOI
10.1016/j.media.2026.104179
Published
2026 Sep
Container
Medical image analysis
Publisher
Not recorded
Open access
no

Credibility signals

limited evidence Score 43/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1016/j.media.2026.104179,
  title = {Rethinking the detail-preserved completion of complex tubular structures based on point cloud: A dataset and a benchmark.},
  author = {Qi Y and Yang Y and Peng W and Miao S and Hu Y and Yang G},
  year = {2026},
  journal = {Medical image analysis},
  doi = {10.1016/j.media.2026.104179},
  url = {https://doi.org/10.1016/j.media.2026.104179}
}

RIS

TY  - JOUR
TI  - Rethinking the detail-preserved completion of complex tubular structures based on point cloud: A dataset and a benchmark.
AU  - Qi Y
AU  - Yang Y
AU  - Peng W
AU  - Miao S
AU  - Hu Y
AU  - Yang G
PY  - 2026
JO  - Medical image analysis
DO  - 10.1016/j.media.2026.104179
UR  - https://doi.org/10.1016/j.media.2026.104179
ER  - 

APA

Y, Q., Y, Y., W, P., S, M., Y, H., & G, Y. (2026). Rethinking the detail-preserved completion of complex tubular structures based on point cloud: A dataset and a benchmark.. Medical image analysis. https://doi.org/10.1016/j.media.2026.104179

Source records