Internal feasibility evaluation of SAM-Med3D for cervical cancer clinical target volume segmentation on planning computed tomography.

This retrospective single-center study internally evaluated a SAM-Med3D baseline initialized from public pretrained weights and fine-tuned on the study training cohort for prompted cervical cancer clinical target volume segmentation on planning CT.

CT scans were resampled, normalized, and prepared as label-centered 128 × 128 × 128 patches.

The SAM-Med3D model was initialized from public pretrained weights and fine-tuned on the training cohort without architectural modification, then assessed with simulated/oracle-guided prompts at 1, 3, 5, 7, 9, and 11 clicks using Dice, HD95, 3-mm surface Dice, and volume consistency.