A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is
In the medical field, automatic extraction of spinal region from CT images has been desired. Among various methods for image segmentation, one of the convolutional neural network models called U-Net  has been shown to attain good performance with small data set size. Previous study by Kamata et al.  applied U-Net for spine segmentation task and achieved 82.7% accuracy for unlearned CT images. However, the method had difficulty in the precision of the 3D shape. This study attempteddoi:10.18178/joig.7.3.107-111 fatcat:3nbj2tvnyrh6vjahcypuynemia