A bottom-up and top-down model for cell segmentation using multispectral data

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

Volumn , Issue , 2010, Pages 592-595

  Wu, Xuqing ^a   Shah, Shishir K ^a  

^a University of Houston   (United States)

Author keywords

Conditional random fields; Multispectral image analysis; Probabilistic latent semantic analysis

Indexed keywords

BIOLOGICAL TISSUES; BOTTOM-UP AND TOP-DOWN; CELL SEGMENTATION; COLOR SPACE; COMPARATIVE ANALYSIS; CONDITIONAL RANDOM FIELD; CONTEXTUAL INFORMATION; HIGH-DIMENSIONAL; HIGH-QUALITY SEGMENTATION; LOW-LEVEL CUES; MULTI-SPECTRAL DATA; MULTI-SPECTRAL IMAGE ANALYSIS; MULTISPECTRAL IMAGING; PROBABILISTIC LATENT SEMANTIC ANALYSIS; SPECTRAL DATA; SUB-CELLULAR; TOPIC DISCOVERY; TRANSMISSION SPECTRUMS;

BIOINFORMATICS; CONTENT BASED RETRIEVAL; CYTOLOGY; HISTOLOGY; IMAGE ANALYSIS; MEDICAL IMAGING; SEMANTICS;

IMAGE SEGMENTATION;

EID: 77955181441     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2010.5490107     Document Type: Conference Paper

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