Centromere and cytoplasmic staining pattern recognition: A local approach

Medical and Biological Engineering and Computing

Volumn 51, Issue 12, 2013, Pages 1305-1314

  Iannello, Giulio ^a   Onofri, Leonardo ^a   Soda, Paolo ^a  

^a UNIVERSITY CAMPUS BIO MEDICO   (Italy)

Author keywords

Bag of visual words; Computer aided diagnosis; HEp 2 pattern classification; Indirect immunofluorescence; Local descriptors

Indexed keywords

AUTOIMMUNE DISEASE; BAG-OF-VISUAL-WORDS; CLASSIFICATION SYSTEM; FLUORESCENCE INTENSITIES; IMAGE SEGMENTATION ALGORITHM; INDIRECT IMMUNOFLUORESCENCE; LOCAL DESCRIPTORS; STATE-OF-THE-ART APPROACH;

CHROMOSOMES; COMPUTER AIDED DIAGNOSIS; FLUORESCENCE; PATTERN RECOGNITION;

IMAGE SEGMENTATION;

AUTOANTIBODY;

ALGORITHM; ARTICLE; AUTOIMMUNE DISEASE; CELL NUCLEUS; CENTROMERE; CLINICAL ASSESSMENT; COMPUTER AIDED DESIGN; CYTOPLASM; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FLUORESCENCE; HEP 2 CELL; HOSPITAL PATIENT; HUMAN; IMAGE ANALYSIS; IMMUNOFLUORESCENCE; OUTPATIENT; PATTERN RECOGNITION; STAINING;

ANTIGENS; AUTOANTIBODIES; AUTOIMMUNE DISEASES; CENTROMERE; CYTOPLASM; DATABASES, FACTUAL; DIAGNOSIS, COMPUTER-ASSISTED; FLUORESCENT ANTIBODY TECHNIQUE, INDIRECT; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; ROC CURVE; SUPPORT VECTOR MACHINES;

EID: 84896718949     PISSN: 01400118     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11517-013-1102-1     Document Type: Article

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