Prediction of biomechanical parameters of the proximal femur using statistical appearance models and support vector regression

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5241 LNCS, Issue PART 1, 2008, Pages 568-575

  Fritscher, Karl ^a   Schuler, Benedikt ^a   Link, Thomas ^b   Eckstein, Felix ^c   Suhm, Norbert ^d   Hänni, Markus ^d   Hengg, Clemens ^e   Schubert, Rainer ^a  

^a UNIVERSITY FOR HEALTH SCIENCES   (Austria)

^b UNIVERSITY OF CALIFORNIA   (United States)

^c PARACELSUS MEDICAL UNIVERSITY   (Austria)

^d AO Development Institute   (Switzerland)

^e INNSBRUCK MEDICAL UNIVERSITY   (Austria)

Author keywords

Appearance models; Bone strength; Fracture load; Proximal femur; Support vectors

Indexed keywords

APPEARANCE MODELS; BONE STRENGTH; FRACTURE LOAD; PROXIMAL FEMUR; SUPPORT VECTORS;

BIOMECHANICS; BONE; COMPUTER SCIENCE; MEDICAL COMPUTING; MINING; RISK PERCEPTION; VECTORS;

FRACTURE;

ADULT; AGED; ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; BIOMECHANICS; BONE DENSITY; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; FEMALE; FEMUR HEAD; HUMAN; IMAGE QUALITY; MALE; METHODOLOGY; MIDDLE AGED; PHOTON ABSORPTIOMETRY; PHYSIOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL;

ABSORPTIOMETRY, PHOTON; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; ARTIFICIAL INTELLIGENCE; BIOMECHANICS; BONE DENSITY; COMPUTER SIMULATION; FEMALE; FEMUR HEAD; HUMANS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 58849127484     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85988-8_68     Document Type: Conference Paper

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