The application of pattern recognition techniques in the analysis of metacarpophalangeal lengths.
Pattern recognition techniques have been applied to the analysis of metacarpophalangeal lengths obtained from hand radiographs. A data base consisting of healthy subjects, and subjects exhibiting achondroplasia, Down's syndrome, and Turner's syndrome was studied. A classification technique was found which effectively separates these conditions. The technique is suitable for computer automation.
D000130:Achondroplasia / Q000000981:diagnostic imaging; D000293:Adolescent; D001842:Bone and Bones / Q000002:abnormalities / Q000000981:diagnostic imaging*; D002648:Child; D002675:Child, Preschool; D003937:Diagnosis, Differential; D004314:Down Syndrome / Q000000981:diagnostic imaging; D005260:Female; D006225:Hand / Q000000981:diagnostic imaging*; D006801:Humans; D007223:Infant; D008297:Male; D010363:Pattern Recognition, Automated; D011859:Radiography; D013679:Technology, Radiologic; D014424:Turner Syndrome / Q000000981:diagnostic imaging