Fig. 2: Qualitative 42 OAR segmentation using UaNet and SOARs on the internal (upper 4 rows) & external (lower 5 rows) datasets. | Nature Communications

Fig. 2: Qualitative 42 OAR segmentation using UaNet and SOARs on the internal (upper 4 rows) & external (lower 5 rows) datasets.

From: Comprehensive and clinically accurate head and neck cancer organs-at-risk delineation on a multi-institutional study

Fig. 2

Rows 5–9 are sample images from GPH, FAH-ZU, HHA-FU, SMU, and FAH-XJU, respectively. The 1–4 columns are pCT image, pCT with manual OAR delineations, pCT with UaNet predictions, pCT with SOARS predictions, respectively. The five external centers have different OAR delineation protocols–a subset of 42 OARs is manually labeled. For better comparison, we only show the ground truth associated predictions and use red arrows to indicate the improvements.

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