A pilot study of automatic lung tumor segmentation from positron emission tomography images using standard uptake values

Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Image and Signal Processing, CIISP 2007

Volumn , Issue , 2007, Pages 363-368

  Kanakatte, Aparna ^a   Gubbi, Jayavardhana ^b   Mani, Nallasamy ^a   Kron, Tomas ^c   Binns, David ^c  

^a MONASH UNIVERSITY   (Australia)

^b UNIVERSITY OF MELBOURNE   (Australia)

^c PETER MACCALLUM CANCER CENTRE   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

BINARY IMAGES; IMAGE RECOGNITION; MEDICAL IMAGING; PHYSIOLOGICAL MODELS; POSITRON EMISSION TOMOGRAPHY; TUMORS;

GRAY IMAGES; LAPLACIAN OF GAUSSIAN (LOG); LUNG TUMOR SEGMENTATION; PHYSIOLOGICAL FUNCTIONS;

IMAGE SEGMENTATION;

EID: 34548761515     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIISP.2007.369196     Document Type: Conference Paper

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