Coupling oriented hidden Markov random field model with local clustering for segmenting blood vessels and measuring spatial structures in images of tumor microenvironment

Proceedings - 2011 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2011

Volumn , Issue , 2011, Pages 352-357

  Zhu, Yanqiao ^a,b   Li, Fuhai ^a   Cridebring, Derek ^a   Ma, Jinwen ^b   Wong, Stephen T C ^a   Vadakkan, Tegy J ^c   Zhang, Mei ^c   Landua, John ^c   Wei, Wei ^c   Dickinson, Mary E ^c   Rosen, Jeffrey M ^c   Lewis, Michael T ^c  

^a HOUSTON METHODIST RESEARCH INSTITUTE   (United States)

^b PEKING UNIVERSITY   (China)

^c BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

blood vessel segmentation; hidden Markov random field; superpixel; tumor microenvironment

Indexed keywords

BLOOD VESSEL CELLS; BLOOD VESSEL SEGMENTATION; BREAST CANCER; CANCER CELLS; DIRECTIONAL INFORMATION; EXPERIMENTAL VALIDATIONS; HIDDEN MARKOV RANDOM FIELD MODEL; HIDDEN MARKOV RANDOM FIELDS; LOCAL CLUSTERING; LOW SIGNAL-TO-NOISE RATIO; LOW SNR; OPEN PROBLEMS; SPATIAL DEPENDENCE; SPATIAL RELATIONSHIPS; SPATIAL STRUCTURE; SUPERPIXEL; TUMOR DEVELOPMENT; TUMOR MICROENVIRONMENT; VESSEL SEGMENTS;

BIOINFORMATICS; BLOOD; CELLS; DISEASES; IMAGE SEGMENTATION; RANDOM VARIABLES; SIGNAL TO NOISE RATIO; TUMORS;

BLOOD VESSELS;

EID: 84862918926     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/BIBM.2011.104     Document Type: Conference Paper

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