Title
Automatic Scoliosis Detection Based on Local Centroids Evaluation on Moire' Topographic Images of Human Backs
Abstract
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 Kim129336.05
Seiji Ishikawa234249.06
Yoshinori Otsuka3123.75
Hisashi Shimizu451.67
Takashi Shinomiya563.38
Max A Viergever67946833.77