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Fig. 3 | Insights into Imaging

Fig. 3

From: Deep learning approach for automatic segmentation of ulna and radius in dual-energy X-ray imaging

Fig. 3

Visualization of the segmentation results for the validation and testing sets. The first and third rows show low-energy X-ray images, and the second and fourth rows show high-energy X-ray images. The first and fourth columns are the input images. The second and fifth columns are the ground truth. The third and sixth columns are the segmentation results obtained using the proposed method. Yellow and cyan denote the ulna and radius, respectively

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