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.

Islam MZ, Perk TG, Weisman A, Markowski MC, Pienta KJ, Whang YE, Milowsky MI, Pomper MG, Wisniewski N, Bundschuh RA, Werner RA, Gorin MA, Rowe SP

Open source

DOI
10.3390/tomography12030038
Published
2026 Mar 11
Container
Tomography (Ann Arbor, Mich.)
Publisher
Not recorded
Open access
yes

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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

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