Rule-based algorithm for automated king-type classification of idiopathic scoliosis

Studies in Health Technology and Informatics

Volumn 88, Issue , 2002, Pages 149-152

  Stokes, Ian A F ^a   Aronsson, David D ^a  

^a UNIVERSITY OF VERMONT   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

RADIOGRAPHY; RELIABILITY;

COBB ANGLES; HUMAN OBSERVERS; IDIOPATHIC SCOLIOSIS; LANDMARK IDENTIFICATION; LUMBAR VERTEBRA; RELIABILITY PROBLEMS; RULE BASED ALGORITHMS; TYPE CLASSIFICATIONS;

MUSCULOSKELETAL SYSTEM;

ALGORITHM; ARTICLE; CLASSIFICATION; HUMAN; IMAGE QUALITY; RADIOGRAPHY; SCOLIOSIS;

ALGORITHMS; HUMANS; RADIOGRAPHIC IMAGE ENHANCEMENT; SCOLIOSIS;

EID: 6044231807     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-60750-932-5-149     Document Type: Conference Paper

References (4)

1. Burstein AH: Fracture classification systems: do they work and are they useful? J Bone Joint Surg Am. 5(12): 1743-4, 1993.
2. Cummings RJ, Loveless EA, Campbell J, Samelson S, Mazur JM: Interobserver reliability and intraobserver reproducibility of the system of King et al. for the classification of adolescent idiopathic scoliosis. J Bone Joint Surg Am 80(8):1107-11,1998.
3. King HA, Moe JH, Bradford DS, Winter RB: The selection of fusion levels in thoracic idiopathic scoliosis. J Bone Joint Surg (Am) 65:1302-1313, 1983.
4. Lenke LG, Betz RR, Bridwell KH, Clements DH, Harms J, Lowe TG, Shufflebarger HL: Intraobserver and interobserver reliability of the classification of thoracic adolescent idiopathic scoliosis. J Bone Joint Surg Am 80(8):1097-106, 1998.