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.
Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss
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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.