%0 Journal Article
%T An Improved Neural Network Method for Forearm Bone Imaging Segmentation
%A Songzheng Huang
%A Jianfeng Chen
%J Open Journal of Radiology
%P 176-188
%@ 2164-3032
%D 2022
%I Scientific Research Publishing
%R 10.4236/ojrad.2022.124018
%X In this paper, we propose several improved neural networks and training strategy using data augmentation to segment human radius accurately and efficiently. This method can provide pixel-level segmentation accuracy through the low-level features of the neural network, and automatically distinguish the classification of radius. The versatility and applicability can be effectively improved by learning and training digital X-ray images obtained from digital X-ray imaging systems of different manufacturers.
%K Human Radius
%K Digital X-Ray Image
%K U-shaped &lt
%K i&gt
%K Unet&lt
%K /i&gt
%K Neural Network
%K Segmentation
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=121771