Discriminative pathological context detection in thoracic images based on multi-level inference

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

Volumn 6893 LNCS, Issue PART 3, 2011, Pages 191-198

  Song, Yang ^a   Cai, Weidong ^a   Eberl, Stefan ^a,b   Fulham, Michael J ^a,b,c   Feng, Dagan ^a,d  

^a UNIVERSITY OF SYDNEY   (Australia)

^b ROYAL PRINCE ALFRED HOSPITAL   (Australia)

^c UNIVERSITY OF SYDNEY   (Australia)

^d HONG KONG POLYTECHNIC UNIVERSITY   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

CLINICAL DATA; COMPUTED TOMOGRAPHY; CONTEXT DETECTION; INFERENCE METHODS; LUNG CANCER; LYMPH NODE; MULTI-LEVEL; REFERENCE SET; SIMILAR IMAGE; SPATIAL RELATIONSHIPS;

BIOLOGICAL ORGANS; DIAGNOSIS; DISEASES; MEDICAL COMPUTING; MEDICAL IMAGING; POSITRON EMISSION TOMOGRAPHY;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; LUNG NON SMALL CELL CANCER; LUNG TUMOR; LYMPH NODE; LYMPH NODE METASTASIS; METHODOLOGY; ONCOLOGY; PATHOLOGY; POSITRON EMISSION TOMOGRAPHY; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; THEORETICAL MODEL; THORAX RADIOGRAPHY;

ALGORITHMS; CARCINOMA, NON-SMALL-CELL LUNG; HUMANS; LUNG NEOPLASMS; LYMPH NODES; LYMPHATIC METASTASIS; MEDICAL ONCOLOGY; MODELS, STATISTICAL; MODELS, THEORETICAL; POSITRON-EMISSION TOMOGRAPHY; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, THORACIC; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, X-RAY COMPUTED;

EID: 82255183329     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_24     Document Type: Conference Paper

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