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Fig. 3 | BioMedical Engineering OnLine

Fig. 3

From: Using 2D U-Net convolutional neural networks for automatic acetabular and proximal femur segmentation of hip MRI images and morphological quantification: a preliminary study in DDH

Fig. 3

The measurement of three parameters including CEA, AI and FNA for seven children with bilateral healthy hip (left column with green shading) and seven children with DDH or post-operation (right column with blue shading). The solid blue (donated as right hip) and orange (donated as left hip) lines represented the results with the approach of automatic measurement while the dotted lines represented the results with the approach of manual measurement. R and L represented as “Right” and “Left”, respectively. Auto and Manu represented as “Automatic” and “Manual”, respectively

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BioMedical Engineering OnLine

ISSN: 1475-925X

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