Phase contrast cell detection using multilevel classification

International Journal for Numerical Methods in Biomedical Engineering

Volumn 34, Issue 2, 2018, Pages

  Essa, Ehab ^a   Xie, Xianghua ^b  

^a MANSOURA UNIVERSITY   (Egypt)

^b SWANSEA UNIVERSITY   (United Kingdom)

Author keywords

bag of features; cell segmentation; machine learning; phase contrast imaging; random forests

Indexed keywords

ARTIFICIAL INTELLIGENCE; CELLS; DECISION TREES; IMAGE SEGMENTATION; LANTHANUM COMPOUNDS; LEARNING ALGORITHMS; LEARNING SYSTEMS; PIXELS;

BAG OF FEATURES; CELL SEGMENTATION; MACHINE LEARNING APPROACHES; MACHINE LEARNING METHODS; MULTI-LEVEL CLASSIFICATIONS; PHASE-CONTRAST IMAGE; PHASE-CONTRAST IMAGING; RANDOM FORESTS;

CYTOLOGY;

ANIMAL; AUTOMATION; CELL LINE; COMPUTER ASSISTED DIAGNOSIS; HELA CELL LINE; HUMAN; MACHINE LEARNING; MOUSE; NIH 3T3 CELL LINE; PHASE CONTRAST MICROSCOPY; PROCEDURES; TIME LAPSE IMAGING;

ANIMALS; AUTOMATION; CELL LINE; HELA CELLS; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MACHINE LEARNING; MICE; MICROSCOPY, PHASE-CONTRAST; NIH 3T3 CELLS; TIME-LAPSE IMAGING;

EID: 85041403954     PISSN: 20407939     EISSN: 20407947     Source Type: Journal    
DOI: 10.1002/cnm.2916     Document Type: Article

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