fig4

Automated CTA-based perforator mapping for DIEP flap planning in breast cancer reconstruction

Figure 4. Qualitative comparison of two representative cases: complex anatomy (Example 1) and sparse anatomy (Example 2), showing (top to bottom) ground truth, baseline Swin UNETR, and two enhanced models. Black boxes report the median Dice scores for each method. Enhanced outputs exhibit markedly improved branch continuity and reduced false‑positive suppression. Swin UNETR: Swin UNEt TRansformers.

Artificial Intelligence Surgery
ISSN 2771-0408 (Online)
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