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. Author manuscript; available in PMC: 2024 Jan 4.
Published before final editing as: IEEE Trans Biomed Eng. 2022 Jul 4;PP:10.1109/TBME.2022.3188173. doi: 10.1109/TBME.2022.3188173

Fig. 4. Performance evaluation of the trained segmentation network with test dataset.

Fig. 4.

(a, b) Representative cross-sectional OCT image from the test dataset and its correlated histology. (c) The manual segmentation (center, ground truth) is compared with the automated segmentation results (right) from the unwrapped OCT (left). (d) The similarity (characterized with the intersection over union (IoU)) calculated by comparing 14 automated segmentation results with their corresponding manual ground truth labels for each compartment in the airway wall, the resulting IoU are presented as mean values with standard deviations. Scale bars: 500 μm.