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Fig. 4 | Radiation Oncology

Fig. 4

From: Comparison of deep learning networks for fully automated head and neck tumor delineation on multi-centric PET/CT images

Fig. 4

Image slices from the CRO cohort showing (A) one of the best, (B) average, and (C) poor baseline model performance. All the CTs are windowed with width of 200 and level of 20 in Housfield units (HU). The ground truth segmentation is contoured in red lines on both PET (left) and CT (right). The predicted GTV (combination of GTVp and GTVn) with the baseline regular Unet is displayed in green on CT.The predicted GTV from the facility-specific transfer learning for the regular Unet is displayed in pink on PET

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Radiation Oncology

ISSN: 1748-717X

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