An automatic segmentation and classification framework for anti-nuclear antibody images

BioMedical Engineering Online

Volumn 12, Issue SUPPL 1, 2013, Pages

  Cheng, Chung Chuan ^a   Hsieh, Tsu Yi ^b   Taur, Jin Shiuh ^a   Chen, Yung Fu ^c,d  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^b TAICHUNG VETERANS GENERAL HOSPITAL   (Taiwan)

^c CENTRAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^d CHINA MEDICAL UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBODIES; CELLS; COMPUTER AIDED DIAGNOSIS; CYTOLOGY; FLUORESCENCE; HISTOLOGY; IMMUNE SYSTEM; TISSUE;

AUTOMATIC SEGMENTATIONS; CLASSIFICATION FRAMEWORK; CLASSIFICATION PERFORMANCE; COMPUTER-AIDED SYSTEMS; FLUORESCENCE PATTERNS; INDIRECT IMMUNOFLUORESCENCE; INTEROBSERVER VARIABILITY; SEGMENTATION PERFORMANCE;

IMAGE SEGMENTATION;

ANTINUCLEAR ANTIBODY;

ARTICLE; AUTOIMMUNE DISEASE; CELL SEGMENTATION; CLASSIFICATION ALGORITHM; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; FLUORESCENCE MICROSCOPE; HEP 2 CELL LINE; HUMAN; HUMAN CELL; IMMUNOASSAY; IMMUNOFLUORESCENCE; PHYSICIAN; PROCEDURES CONCERNING CELLS; REPRODUCIBILITY; SUPPORT VECTOR MACHINE; WATERSHED; ALGORITHM; AUTOMATED PATTERN RECOGNITION; FLUORESCENT ANTIBODY TECHNIQUE; HEPG2 CELL LINE; IMAGE PROCESSING; ISOLATION AND PURIFICATION; METHODOLOGY; OBSERVER VARIATION; THEORETICAL MODEL;

ALGORITHMS; ANTIBODIES, ANTINUCLEAR; AUTOIMMUNE DISEASES; FLUORESCENT ANTIBODY TECHNIQUE, INDIRECT; HEP G2 CELLS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MODELS, THEORETICAL; OBSERVER VARIATION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS;

EID: 84889671053     PISSN: None     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-12-S1-S5     Document Type: Article

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