Fusion of systems for automated cell phenotype image classification

Expert Systems with Applications

Volumn 37, Issue 2, 2010, Pages 1556-1562

  Nanni, Loris ^a   Lumini, Alessandra ^a   Lin, Yu Shi ^b   Hsu, Chun Nan ^b   Lin, Chung Chih ^b,c  

^a UNIVERSITY OF BOLOGNA   (Italy)

^b INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^c NATIONAL YANG MING UNIVERSITY   (Taiwan)

Author keywords

AdaBoost; Cell phenotype image classification; Ensemble of neural networks; Machine learning techniques; Subcellular location

Indexed keywords

ADABOOST; CELL PHENOTYPE; CELL PHENOTYPE IMAGE CLASSIFICATION; ENSEMBLE OF NEURAL NETWORKS; MACHINE LEARNING TECHNIQUES; SUBCELLULAR LOCATION;

ADAPTIVE BOOSTING; AUTOMATION; CELLS; CYTOLOGY; DIAGNOSIS; EDUCATION; FLUORESCENCE; FLUORESCENCE MICROSCOPY; IMAGE ANALYSIS; LOCATION; NEURAL NETWORKS; PROTEINS; ROBOT LEARNING;

IMAGE CLASSIFICATION;

EID: 71749110909     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2009.06.062     Document Type: Article

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