Segmenting lung fields in serial chest radiographs using both population and patient-specific shape statistics

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

Volumn 4190 LNCS - I, Issue , 2006, Pages 83-91

  Shi, Yonghong ^a   Qi, Feihu ^a   Xue, Zhong ^b   Ito, Kyoko ^c   Matsuo, Hidenori ^c   Shen, Dinggang ^b  

^a SHANGHAI JIAO TONG UNIVERSITY   (China)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c Hidaka Hospital   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; MEDICAL IMAGING; PATIENT MONITORING; PULMONARY DISEASES; RADIOGRAPHY; STATISTICS;

CHEST RADIOGRAPHS; SCALE-INVARIANT FEATURE TRANSFORM (SIFT);

IMAGE SEGMENTATION;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; BIOLOGICAL MODEL; COMPUTER ASSISTED DIAGNOSIS; COMPUTER SIMULATION; EVALUATION; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; INFORMATION RETRIEVAL; LUNG; METHODOLOGY; RADIOGRAPHY; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICAL ANALYSIS; STATISTICAL MODEL; THORAX RADIOGRAPHY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; HUMANS; INFORMATION STORAGE AND RETRIEVAL; LUNG; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE ENHANCEMENT; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 33750250277     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11866565_11     Document Type: Conference Paper

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