TITLE:
An Improved Neural Network Method for Forearm Bone Imaging Segmentation
AUTHORS:
Songzheng Huang, Jianfeng Chen
KEYWORDS:
Human Radius, Digital X-Ray Image, U-shaped Unet Neural Network, Segmentation
JOURNAL NAME:
Open Journal of Radiology,
Vol.12 No.4,
December
12,
2022
ABSTRACT: 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.