Repeatability of Semi-Quantitative and Volumetric Features from Artificial-Intelligence-Guided Lesion Segmentation on (18)F-DCFPyL PSMA-PET/CT Images: Results from a Test-Retest Cohort.
- DOI
- 10.3390/tomography12030038
- Published
- 2026 Mar 11
- Container
- Tomography (Ann Arbor, Mich.)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/tomography12030038,
title = {Repeatability of Semi-Quantitative and Volumetric Features from Artificial-Intelligence-Guided Lesion Segmentation on (18)F-DCFPyL PSMA-PET/CT Images: Results from a Test-Retest Cohort.},
author = {Islam MZ and Perk TG and Weisman A and Markowski MC and Pienta KJ and Whang YE and Milowsky MI and Pomper MG and Wisniewski N and Bundschuh RA and Werner RA and Gorin MA and Rowe SP},
year = {2026},
journal = {Tomography (Ann Arbor, Mich.)},
doi = {10.3390/tomography12030038},
url = {https://doi.org/10.3390/tomography12030038}
}RIS
TY - JOUR TI - Repeatability of Semi-Quantitative and Volumetric Features from Artificial-Intelligence-Guided Lesion Segmentation on (18)F-DCFPyL PSMA-PET/CT Images: Results from a Test-Retest Cohort. AU - Islam MZ AU - Perk TG AU - Weisman A AU - Markowski MC AU - Pienta KJ AU - Whang YE AU - Milowsky MI AU - Pomper MG AU - Wisniewski N AU - Bundschuh RA AU - Werner RA AU - Gorin MA AU - Rowe SP PY - 2026 JO - Tomography (Ann Arbor, Mich.) DO - 10.3390/tomography12030038 UR - https://doi.org/10.3390/tomography12030038 ER -
APA
MZ, I., TG, P., A, W., MC, M., KJ, P., YE, W., MI, M., MG, P., N, W., RA, B., RA, W., MA, G., & SP, R. (2026). Repeatability of Semi-Quantitative and Volumetric Features from Artificial-Intelligence-Guided Lesion Segmentation on (18)F-DCFPyL PSMA-PET/CT Images: Results from a Test-Retest Cohort.. Tomography (Ann Arbor, Mich.). https://doi.org/10.3390/tomography12030038
Source records
- pubmed · retrieved 2026-09-26T02:36:48.867Z
- europe-pmc · retrieved 2026-09-26T02:36:48.875Z
- doaj · retrieved 2026-09-26T02:36:48.885Z