会议专题

Automated Method of Fracture Detection in CT Brain Images

This paper presents a novel approach toautomatically detect the fracture of skull in CT images.The approach consists of 5 steps: 1)skull segmentation,2)skull extraction,3)edge detection,4)noise removaland,5)image classification.Experiments show thatthe recognition rate is 99% for 100 images that arerandomly chosen from a medical image databasecontributed by Hospital Putrajaya,Malaysia.Thisapproach is simple and fast,but yet gives reliableresults and high recognition rate.Due to this fact,itcan provide a very strong basis of content-basedmedical image retrieval for medical training ordiagnosis.

W Mimi Diyana W.Zaki M.Faizal Ahmad Fauzi Rosli Besar

Department of Electric,Electronics and Systems,Faculty of Engineeringand build Environment,Universit Faculty of Engineering,Multimedia University,Persiaran Multimedia,63100 Cyberjaya,Selangor,Malaysia Faculty of Engineering and Technology,Multimedia University,Jalan Ayer Keroh Lama,75450 Melaka.Malay

国际会议

2008 3rd International Conference on Intelligent System and Knowledge Engineering(第三届智能系统与知识工程国际会议)(ISKE 2008)

厦门

英文

1156-1160

2008-11-17(万方平台首次上网日期,不代表论文的发表时间)