Detection of 3D spinal geometry using iterated marginal space learning

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

Volumn 6533 LNCS, Issue , 2011, Pages 96-105

  Kelm, B Michael ^a   Zhou, S Kevin ^b   Suehling, Michael ^b   Zheng, Yefeng ^b   Wels, Michael ^a   Comaniciu, Dorin ^b  

^a SIEMENS AG   (Germany)

^b SIEMENS CORPORATE RESEARCH   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANGULAR ERRORS; COMPUTED TOMOGRAPHY; DIMENSIONAL TRANSFORMATION; FALSE POSITIVE DETECTION; HIGH SENSITIVITY; IMAGE VOLUME; INTEGRAL PART; INTERVERTEBRAL DISK; MARGINAL SPACE LEARNING; MULTIPLE OBJECTS; NOVEL METHODS; OBJECT DETECTION; POSITION ERRORS; RELATIVE POSE; POSITION AND ORIENTATIONS;

CARTILAGE; COMPUTER VISION; DISKS (MACHINE COMPONENTS); DISKS (STRUCTURAL COMPONENTS); GEOMETRY; MAGNETIC RESONANCE; MEDICAL IMAGING; RADIOLOGY; COMPUTERIZED TOMOGRAPHY; ITERATIVE METHODS; MAGNETIC LEVITATION VEHICLES; OBJECT DETECTION;

COMPUTERIZED TOMOGRAPHY; MEDICAL IMAGING;

EID: 79951641750     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-18421-5_10     Document Type: Conference Paper

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