Learning shape and texture characteristics of CT tree-in-bud opacities for CAD systems

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 215-222

  Bagci, Ulas ^a   Yao, Jianhua ^a   Caban, Jesus ^b   Suffredini, Anthony F ^a   Palmore, Tara N ^a   Mollura, Daniel J ^a  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b NATIONAL INSTITUTES OF HEALTH   (United States)

Author keywords

Computer Assisted Detection; Infectious Diseases; Lung; Tree in Bud; Willmore Energy

Indexed keywords

COMPUTER ASSISTED DETECTION; INFECTIOUS DISEASE; LUNG; TREE-IN-BUD; WILLMORE ENERGY;

BIOLOGICAL ORGANS; COMPUTER AIDED INSTRUCTION; FEATURE EXTRACTION; IMAGING TECHNIQUES; MEDICAL COMPUTING; PLANT EXTRACTS; TEXTURES;

COMPUTERIZED TOMOGRAPHY;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; COMMUNICABLE DISEASE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; GENETICS; HUMAN; LUNG; METHODOLOGY; PARAMYXOVIRUS INFECTION; STATISTICAL MODEL; THORAX RADIOGRAPHY; VIRAL BRONCHIOLITIS; VIROLOGY;

ALGORITHMS; BRONCHIOLITIS, VIRAL; COMMUNICABLE DISEASES; DIAGNOSIS, COMPUTER-ASSISTED; HUMANS; LUNG; MODELS, STATISTICAL; PARAMYXOVIRIDAE INFECTIONS; PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHY, THORACIC; SOFTWARE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 80053469544     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-23626-6_27     Document Type: Conference Paper

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