Bone Age Assessment (BAA) is a frequent clinical procedure used to evaluate endocrinology, genetics, and development issues in children. BAA is commonly used because it is simple, with minimum exposure to radiation and multiple ossification centers for the maturity evaluation. The two techniques by which bone age is estimated are the 'Greulich Pyle (GP) method and the Tanner Whitehouse (TW) method.' Whichever method is used, each technique faces the limitation of intra- and inter-operator variability. Therefore these methods need to be automated. We have suggested an existing segmentation approach to segment each bone or 'region of interest (ROI)' from the hand wrist x-ray using u-net architecture. The proposed approach has been trained on 48 images and tested on 24 X-ray hand images to produce an average Dice coefficient of 0.88 ± 0.095. Thus, the suggested technique can offer an approach to segment x-ray images with annotated regions ROIs accurately. © 2021 IEEE.