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Fig. 2 | Radiation Oncology

Fig. 2

From: Pelvic U-Net: multi-label semantic segmentation of pelvic organs at risk for radiation therapy anal cancer patients using a deeply supervised shuffle attention convolutional neural network

Fig. 2

2-stage observational evaluation process of segmentation predictions derived for n = 15 test patients. Uncorrected segmentations were rated on a scale between 1–4 by three radiation oncologists (a). Once rated, all structures were manually corrected (b) and rated a second time (c)

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