Survey statistics of automated segmentations applied to optical imaging of mammalian cells

BMC Bioinformatics

Volumn 16, Issue 1, 2015, Pages

  Bajcsy, Peter ^a   Cardone, Antonio ^a   Chalfoun, Joe ^a   Halter, Michael ^a   Juba, Derek ^a   Kociolek, Marcin ^b   Majurski, Michael ^a   Peskin, Adele ^a   Simon, Carl ^a   Simon, Mylene ^a   Vandecreme, Antoine ^a   Brady, Mary ^a  

^a NATIONAL INSTITUTE OF STANDARDS AND TECHNOLOGY   (United States)

^b LODZ UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Accelerated execution of segmentation for high throughput biological application; Cell segmentation; Cellular measurements; Segmentation evaluation; Segmented objects

Indexed keywords

AUTOMATION; C (PROGRAMMING LANGUAGE); CYTOLOGY; HTTP; MAMMALS; OPTICAL IMAGE STORAGE; OPTICAL MICROSCOPY; PAPER; SCAFFOLDS (BIOLOGY); STATISTICS; STEM CELLS; SURVEYS; WEBSITES;

AUTOMATED SEGMENTATION; CELL SEGMENTATION; CO-OCCURRENCE STATISTICS; COMPUTATIONAL PLATFORMS; HIGH THROUGHPUT; SEGMENTATION ALGORITHMS; SEGMENTATION EVALUATION; SEGMENTED OBJECTS;

IMAGE SEGMENTATION;

ALGORITHM; ANIMAL; AUTOMATION; FLUORESCENCE IMAGING; HUMAN; MICROSCOPY;

ALGORITHMS; ANIMALS; AUTOMATION; HUMANS; MICROSCOPY; OPTICAL IMAGING;

EID: 84944402905     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/s12859-015-0762-2     Document Type: Article

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