Impact of CT slice thickness reduction algorithm on AI-based lung nodule detection in chest CTs of colorectal cancer patients.
- DOI
- 10.21037/qims-2026-0880
- Published
- 2026 Sep 1
- Container
- Quantitative imaging in medicine and surgery
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.21037/qims-2026-0880,
title = {Impact of CT slice thickness reduction algorithm on AI-based lung nodule detection in chest CTs of colorectal cancer patients.},
author = {Kang SR and Jeong WG and Rho JY and Choi H and Kim YH and Lee JH and Jin GY},
year = {2026},
journal = {Quantitative imaging in medicine and surgery},
doi = {10.21037/qims-2026-0880},
url = {https://doi.org/10.21037/qims-2026-0880}
}RIS
TY - JOUR TI - Impact of CT slice thickness reduction algorithm on AI-based lung nodule detection in chest CTs of colorectal cancer patients. AU - Kang SR AU - Jeong WG AU - Rho JY AU - Choi H AU - Kim YH AU - Lee JH AU - Jin GY PY - 2026 JO - Quantitative imaging in medicine and surgery DO - 10.21037/qims-2026-0880 UR - https://doi.org/10.21037/qims-2026-0880 ER -
APA
SR, K., WG, J., JY, R., H, C., YH, K., JH, L., & GY, J. (2026). Impact of CT slice thickness reduction algorithm on AI-based lung nodule detection in chest CTs of colorectal cancer patients.. Quantitative imaging in medicine and surgery. https://doi.org/10.21037/qims-2026-0880
Source records
- pubmed · retrieved 2026-09-26T09:16:49.859Z
- europe-pmc · retrieved 2026-09-26T09:16:49.864Z