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Fig. 7 | Radiation Oncology

Fig. 7

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. 7

Time-based evaluation result comparing the mean manual delineation time for all test patients (\({\text{n}} = 15\)) against the time needed to manually correct model predictions and model prediction time (without corrections). Mean manual correction times per structure are shown in the Box and Whisker plot (a). Mean segmentation time could be reduced from 40 min to about 12 min per patient using manually corrected model predictions, and to 4 min, using predictions of the Pelvic U-Net only (b)

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