Exploiting 3d part-based analysis, description and indexing to support medical applications
MCBR-CDS'12 Proceedings of the Third MICCAI international conference on Medical Content-Based Retrieval for Clinical Decision Support(2012)
摘要
Multi-modality is crucial to handle knowledge, medical data and patient-specific information in an integrated fashion: in the course of their work, indeed, clinicians analyze a large amount of information about interrelated layers such as anatomy, kinematics, dynamics, mechanics and physiology. Much of the information related to these levels is intrinsically 3D and we believe that the adoption of 3D part-based annotation and content-based indexing will open up new ways to integrate and interact with medical information. In this paper, we will focus the attention on content-based analysis of 3D medical data and discuss related issues and trends, based on two software tools: the ShapeAnnotator and RheumaSCORE. In the illustrative scenario of the Rheumatoid Arthritis we will provide hints for even more informative Computer Aided Diagnosis systems for clinical support.
更多查看译文
关键词
medical application,patient-specific information,informative computer,clinical support,illustrative scenario,content-based indexing,part-based analysis,rheumatoid arthritis,diagnosis system,content-based analysis,medical information,medical data
AI 理解论文
溯源树
样例
![](https://originalfileserver.aminer.cn/sys/aminer/pubs/mrt_preview.jpeg)
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要