Texture Analysis of Subsolid Nodules Detected on Computed Tomography for Differentiating Minimally Invasive From Invasive Adenocarcinoma.

Lin SM, Chen YC, Lin JP, Chang WL

DOI: 10.1097/rct.0000000000001874
Published: 2026 Jun 19
Container: Journal of computer assisted tomography
Publisher: Not recorded
Open access: no

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Cite this work

BibTeX

@article{allodium:10.1097/rct.0000000000001874,
  title = {Texture Analysis of Subsolid Nodules Detected on Computed Tomography for Differentiating Minimally Invasive From Invasive Adenocarcinoma.},
  author = {Lin SM and Chen YC and Lin JP and Chang WL},
  year = {2026},
  journal = {Journal of computer assisted tomography},
  doi = {10.1097/rct.0000000000001874},
  url = {https://doi.org/10.1097/rct.0000000000001874}
}

RIS

TY  - JOUR
TI  - Texture Analysis of Subsolid Nodules Detected on Computed Tomography for Differentiating Minimally Invasive From Invasive Adenocarcinoma.
AU  - Lin SM
AU  - Chen YC
AU  - Lin JP
AU  - Chang WL
PY  - 2026
JO  - Journal of computer assisted tomography
DO  - 10.1097/rct.0000000000001874
UR  - https://doi.org/10.1097/rct.0000000000001874
ER  -

APA

SM, L., YC, C., JP, L., & WL, C. (2026). Texture Analysis of Subsolid Nodules Detected on Computed Tomography for Differentiating Minimally Invasive From Invasive Adenocarcinoma.. Journal of computer assisted tomography. https://doi.org/10.1097/rct.0000000000001874

Source records

pubmed · retrieved 2026-09-26T02:17:24.295Z
europe-pmc · retrieved 2026-09-26T02:17:24.302Z