An automatic method for ground glass opacity nodule detection and segmentation from CT studies

Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings

Volumn , Issue , 2006, Pages 3062-3065

  Zhou, Jinghao ^a   Chang, Sukmoon ^b,c   Metaxas, Dimitris N ^a   Zhao, Binsheng ^d   Ginsberg, Michelle S ^d   Schwartz, Lawrence H ^d  

^a Rutgers University School of Medicine   (United States)

^b RUTGERS UNIVERSITY   (United States)

^c PENNSYLVANIA STATE UNIVERSITY   (United States)

^d MEMORIAL SLOAN KETTERING CANCER CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHEST CT IMAGES; GROUND GLASS OPACITY (GGO); K-NEAREST NEIGHBOR (K-NN); LUNG CANCER;

IMAGE ANALYSIS; IMAGE SEGMENTATION; ONCOLOGY; STATISTICAL METHODS;

COMPUTERIZED TOMOGRAPHY;

ARTICLE; BIOMEDICAL ENGINEERING; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; LUNG; METHODOLOGY; RADIOGRAPHY; STATISTICAL MODEL; STATISTICS; THREE DIMENSIONAL IMAGING;

BIOMEDICAL ENGINEERING; HUMANS; IMAGING, THREE-DIMENSIONAL; LIKELIHOOD FUNCTIONS; LUNG; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 34047146116     PISSN: 05891019     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IEMBS.2006.260285     Document Type: Conference Paper

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