Research Article
Application of Superpixel Clustering Algorithm to Hip Joint Image Segmentation Registration
@INPROCEEDINGS{10.1007/978-3-031-50571-3_3, author={Jinshun Ding and Xiaoyu Lian and Taowen Lu and Yi Gu and Dandan Guo and Zhiying Cao}, title={Application of Superpixel Clustering Algorithm to Hip Joint Image Segmentation Registration}, proceedings={Multimedia Technology and Enhanced Learning. 5th EAI International Conference, ICMTEL 2023, Leicester, UK, April 28-29, 2023, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2024}, month={2}, keywords={Hip Fracture Image Processing Clustering Algorithm}, doi={10.1007/978-3-031-50571-3_3} }- Jinshun Ding
Xiaoyu Lian
Taowen Lu
Yi Gu
Dandan Guo
Zhiying Cao
Year: 2024
Application of Superpixel Clustering Algorithm to Hip Joint Image Segmentation Registration
ICMTEL
Springer
DOI: 10.1007/978-3-031-50571-3_3
Abstract
Hip fracture is the most common and serious type of fracture in the elderly. The traditional orthopedic disease diagnosis method lacks sufficient information to assist doctors in making a diagnosis, which may easily lead to missed diagnosis and misdiagnosis, delay patient treatment, and may even cause medical accidents. By introducing computer-aided diagnosis technology, this research is mainly divided into the medical image preprocessing process of hip joint diseases, the image segmentation method of superpixel clustering algorithm, the image registration method based on volume feature point selection in the diagnosis of auxiliary ribs of hip joint diseases, and the visualization technology-based method. There are four parts in the evaluation method of auxiliary diagnosis and evaluation of hip joint diseases based on the calculation of quantitative indicators. Segment abdominal CT images through superpixel clustering image processing algorithm to provide auxiliary diagnosis and evaluation of hip joint diseases.
