Detection of vertebral body fractures based on cortical shell unwrapping

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

Volumn 7512 LNCS, Issue , 2012, Pages 509-516

  Yao, Jianhua ^a   Burns, Joseph E ^b   Munoz, Hector ^a   Summers, Ronald M ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTERIZED TOMOGRAPHY; MEDICAL COMPUTING; MEDICAL IMAGING; MUSCULOSKELETAL SYSTEM; PATTERN RECOGNITION; STATISTICAL METHODS; SUPPORT VECTOR MACHINES;

FALSE POSITIVE; FRACTURE DETECTION; FRACTURE LINES; FULLY AUTOMATED; LEAVE-ONE-OUT CROSS VALIDATIONS; PATTERN RECOGNITION PROBLEMS; TRAUMA PATIENTS; VERTEBRAL BODY;

FRACTURE;

ADOLESCENT; ADULT; AGED; ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE QUALITY; MALE; METHODOLOGY; MIDDLE AGED; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; SPINE FRACTURE;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; HUMANS; MALE; MIDDLE AGED; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SPINAL FRACTURES; TOMOGRAPHY, X-RAY COMPUTED; YOUNG ADULT;

MLCS; MLOWN;

EID: 84872935058     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-33454-2_63     Document Type: Conference Paper

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