Benchmarking human epithelial type 2 interphase cells classification methods on a very large dataset

Artificial Intelligence in Medicine

Volumn 65, Issue 3, 2015, Pages 239-250

  Hobson, Peter ^a   Lovell, Brian C ^b   Percannella, Gennaro ^c   Vento, Mario ^c   Wiliem, Arnold ^b  

^a SULLIVAN NICOLAIDES PATHOLOGY   (Australia)

^b UNIVERSITY OF QUEENSLAND   (Australia)

^c UNIVERSITY OF SALERNO   (Italy)

Author keywords

Computer aided diagnosis systems; Hep 2 cell classification; Indirect immunofluorescence; Large scale benchmarking

Indexed keywords

BENCHMARKING; CELLS; CLASSIFICATION (OF INFORMATION); COLLAGEN; COMPETITION; COMPUTER AIDED DIAGNOSIS; CYTOLOGY; DIAGNOSIS; FLUORESCENCE; IMAGE PROCESSING; MUSCULOSKELETAL SYSTEM; PATTERN RECOGNITION;

COMPUTER AIDED DIAGNOSIS SYSTEMS; CONNECTIVE TISSUE DISEASE; FLUORESCENCE INTENSITIES; HEP-2 CELLS; INDIRECT IMMUNOFLUORESCENCE; INTERNATIONAL COMPETITIONS; PATTERN RECOGNITION ACCURACIES; SYSTEMIC LUPUS ERYTHEMATOSUS;

IMAGE CLASSIFICATION;

ARTICLE; CLINICAL CLASSIFICATION; COMPUTER ASSISTED DIAGNOSIS; CONTROLLED STUDY; DIAGNOSTIC ACCURACY; FLUORESCENCE; HEP 2 CELL LINE; HUMAN; HUMAN CELL; IMAGE PROCESSING; IMMUNOFLUORESCENCE; PHYSICIAN; PRIORITY JOURNAL; QUALITY CONTROL; SCIENTIST; STAINING; SUPPORT VECTOR MACHINE; ALGORITHM; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; CONNECTIVE TISSUE DISEASES; EPITHELIUM CELL; INDIRECT FLUORESCENT ANTIBODY TECHNIQUE; INTERPHASE; PROCEDURES; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; CONNECTIVE TISSUE DISEASES; DIAGNOSIS, COMPUTER-ASSISTED; EPITHELIAL CELLS; FLUORESCENT ANTIBODY TECHNIQUE, INDIRECT; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INTERPHASE; PATTERN RECOGNITION, AUTOMATED; SENSITIVITY AND SPECIFICITY; SUPPORT VECTOR MACHINE;

EID: 84939614531     PISSN: 09333657     EISSN: 18732860     Source Type: Journal    
DOI: 10.1016/j.artmed.2015.08.001     Document Type: Article

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