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Volumn 7610 LNCS, Issue PART 2, 2012, Pages 25-41

Segmentation for high-throughput image analysis: Watershed masked clustering

Author keywords

Fluorescence Microscopy; Fuzzy C means clustering; High Throughput Imaging; Segmentation; Systems Biology; Watershed

Indexed keywords

ARTIFICIAL OBJECTS; CELL CLUSTERS; FUZZY C MEANS CLUSTERING; HIGH-THROUGHPUT; LIVING SYSTEMS; MEASUREMENT BIAS; MICROSCOPY IMAGES; MICROSCOPY IMAGING; OBJECT EXTRACTION; PRIOR KNOWLEDGE; RESEARCH FIELDS; SEGMENTATION ALGORITHMS; SEGMENTATION METHODS; SEGMENTED OBJECTS; SELF ADAPTATION; SHAPE VARIATIONS; SYSTEMS BIOLOGY; TIME STEP; WATER-SHED ALGORITHM;

EID: 84868276735     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-34032-1_4     Document Type: Conference Paper
Times cited : (21)

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