Appearance analysis for diagnosing malignant lung nodules

2010 7th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2010 - Proceedings

Volumn , Issue , 2010, Pages 193-196

  El Baz, Ayman ^a   Gimel'farb, Georgy ^b   Falk, Robert ^c   El Ghar, Mohamed ^d  

^a University of Louisville ^*  (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

^c JEWISH HOSPITAL   (United States)

^d MANSOURA UNIVERSITY   (Egypt)

Author keywords

Computer aided diagnostics; Image modeling; Markov random field; Pulmonary nodules

Indexed keywords

ALTERNATIVE METHODS; COMPUTER AIDED DIAGNOSTICS; CONFIDENCE INTERVAL; CURRENT TECHNOLOGY; HOUNSFIELD VALUES; IMAGE INTENSITIES; IMAGE MODELING; INTENSITY RANGE; LUNG CANCER; LUNG NODULE; MARKOV RANDOM FIELDS; MARKOV-GIBBS RANDOM FIELDS; NEIGHBORHOOD SYSTEMS; PULMONARY NODULES; ROTATION INVARIANT; SECOND ORDERS; SPATIAL DISTRIBUTION; TRAINING SETS; VISUAL APPEARANCE;

IMAGE SEGMENTATION; MACROS; MEDICAL IMAGING; SIZE DISTRIBUTION; VISUALIZATION;

BIOLOGICAL ORGANS;

EID: 77955209758     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2010.5490380     Document Type: Conference Paper

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