On simulating subjective evaluation using combined objective metrics for validation of 3D tumor segmentation

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

Volumn 4791 LNCS, Issue PART 1, 2007, Pages 977-984

  Deng, Xiang ^a   Zhu, Lei ^a   Sun, Yiyong ^b   Xu, Chenyang ^b   Song, Lan ^d   Chen, Jiuhong ^a   Merges, Reto D ^a   Jolly, Marie Pierre ^b   Suehling, Michael ^c   Xu, Xiaodong ^a  

^a SIEMENS LTD   (China)

^b SIEMENS CORPORATE RESEARCH   (United States)

^c SIEMENS AG   (Germany)

^d PEKING UNION MEDICAL COLLEGE HOSPITAL   (China)

Author keywords

[No Author keywords available]

Indexed keywords

IMAGE SEGMENTATION; MEDICAL IMAGING; METRIC SYSTEM; THREE DIMENSIONAL; TUMORS;

LINEAR COMBINATION; SIMULATING SUBJECTIVE EVALUATION;

OBJECT RECOGNITION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER SIMULATION; EVALUATION; HUMAN; IMAGE QUALITY; METHODOLOGY; NEOPLASM; OBSERVER VARIATION; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; THREE DIMENSIONAL IMAGING; VALIDATION STUDY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; HUMANS; IMAGING, THREE-DIMENSIONAL; MODELS, BIOLOGICAL; NEOPLASMS; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84865772428     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-75757-3_118     Document Type: Conference Paper

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