Fine-UNETR achieves 66.63% DSC for PSMA lesion segmentation internally and its AI-derived tumor volume, SUVmax, and SUVmean biomarkers significantly stratify overall survival in a 67-patient pre-therapy cohort.
qPSMA: semiautomatic software for whole-body tumor burden assessment in prostate cancer using 68Ga-PSMA11 PET/CT
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.IV 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
Fine-UNETR for PSMA PET/CT Lesion Segmentation: Automated Tumor Quantification and Overall Survival Stratification in Prostate Cancer
Fine-UNETR achieves 66.63% DSC for PSMA lesion segmentation internally and its AI-derived tumor volume, SUVmax, and SUVmean biomarkers significantly stratify overall survival in a 67-patient pre-therapy cohort.