Title | ||
---|---|---|
Automatic Scoliosis Detection Based on Local Centroids Evaluation on Moire' Topographic Images of Human Backs |
Abstract | ||
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This paper presents a technique for automating human scoliosis detection by computer based on moire topographic images of human backs. Scollosis is a serious disease often suffered by teenagers. For prevention, screening is performed at schools in Japan employing a moire method in which doctors inspect moire images of subjects' backs visually. The inspection of a large number of moire images colle... |
Year | DOI | Venue |
---|---|---|
2001 | 10.1109/42.974926 | IEEE Transactions on Medical Imaging |
Keywords | Field | DocType |
Inspection,Humans,Ultrasonic imaging,Back,Optical imaging,Magnetic resonance imaging,Biomedical imaging,Pediatrics,Educational institutions,X-ray imaging | Moiré pattern,Computer vision,Feature vector,Data set,Image processing,Digital image,Mahalanobis distance,Artificial intelligence,Linear discriminant analysis,Mathematics,Centroid | Journal |
Volume | Issue | ISSN |
20 | 12 | 0278-0062 |
Citations | PageRank | References |
5 | 0.66 | 3 |
Authors | ||
6 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hyoungseop Kim | 1 | 293 | 36.05 |
Seiji Ishikawa | 2 | 342 | 49.06 |
Yoshinori Otsuka | 3 | 12 | 3.75 |
Hisashi Shimizu | 4 | 5 | 1.67 |
Takashi Shinomiya | 5 | 6 | 3.38 |
Max A Viergever | 6 | 7946 | 833.77 |