Benchmark for multi-cellular segmentation of bright field microscopy images

BMC Bioinformatics

Volumn 14, Issue , 2013, Pages

  Zaritsky, Assaf ^a   Manor, Nathan ^a   Wolf, Lior ^a   Ben Jacob, Eshel ^a,b,c   Tsarfaty, Ilan ^a  

^a TEL AVIV UNIVERSITY   (Israel)

^b RICE UNIVERSITY   (United States)

^c ASSAF HAROFEH MEDICAL CENTER   (Israel)

Author keywords

Benchmarking; Collective cell migration; Segmentation; Wound healing assay

Indexed keywords

ANNOTATED DATASETS; BRIGHT-FIELD IMAGES; BRIGHT-FIELD MICROSCOPY; COLLECTIVE CELL MIGRATIONS; SEGMENTATION ALGORITHMS; SEGMENTATION METHODS; UNIFORM FRAMEWORK; WOUND HEALING ASSAYS;

ALGORITHMS; BENCHMARKING;

IMAGE SEGMENTATION;

ALGORITHM; ANIMAL; ARTICLE; CELL MOTION; CYTOLOGY; DOG; HEK293 CELL LINE; HUMAN; IMAGE PROCESSING; MDCK CELL LINE; METHODOLOGY; MICROSCOPY; PHYSIOLOGY; STANDARD;

ALGORITHMS; ANIMALS; CELL MOVEMENT; CYTOLOGICAL TECHNIQUES; DOGS; HEK293 CELLS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MADIN DARBY CANINE KIDNEY CELLS; MICROSCOPY;

EID: 84887091280     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-319     Document Type: Article

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