Voxel Normalization in LDCT Imaging: Its Significance in Texture Feature Selection for Pulmonary Nodule Malignancy Classification: Insights from Two Centers.

Peng CH, Wu JF, Kuo CJ, Cheng DC

Open source

DOI
10.3390/diagnostics16020186
Published
2026 Jan 7
Container
Diagnostics (Basel, Switzerland)
Publisher
Not recorded
Open access
yes

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BibTeX

@article{allodium:10.3390/diagnostics16020186,
  title = {Voxel Normalization in LDCT Imaging: Its Significance in Texture Feature Selection for Pulmonary Nodule Malignancy Classification: Insights from Two Centers.},
  author = {Peng CH and Wu JF and Kuo CJ and Cheng DC},
  year = {2026},
  journal = {Diagnostics (Basel, Switzerland)},
  doi = {10.3390/diagnostics16020186},
  url = {https://doi.org/10.3390/diagnostics16020186}
}

RIS

TY  - JOUR
TI  - Voxel Normalization in LDCT Imaging: Its Significance in Texture Feature Selection for Pulmonary Nodule Malignancy Classification: Insights from Two Centers.
AU  - Peng CH
AU  - Wu JF
AU  - Kuo CJ
AU  - Cheng DC
PY  - 2026
JO  - Diagnostics (Basel, Switzerland)
DO  - 10.3390/diagnostics16020186
UR  - https://doi.org/10.3390/diagnostics16020186
ER  - 

APA

CH, P., JF, W., CJ, K., & DC, C. (2026). Voxel Normalization in LDCT Imaging: Its Significance in Texture Feature Selection for Pulmonary Nodule Malignancy Classification: Insights from Two Centers.. Diagnostics (Basel, Switzerland). https://doi.org/10.3390/diagnostics16020186

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