Automated identification of tubercle bacilli in sputum: A preliminary investigation

Analytical and Quantitative Cytology and Histology

Volumn 21, Issue 4, 1999, Pages 277-282

  Veropoulos, Konstantinos ^a   Learmonth, Geneviève ^d   Campbell, Colin ^b   Knight, Bryan ^b   Simpson, John ^c  

^a UNIVERSITY OF BRISTOL   (United Kingdom)

^b UNIVERSITY OF CAPE TOWN   (South Africa)

^c NATIONAL HEALTH LABORATORY SERVICE   (South Africa)

^d NONE

Author keywords

Fluorescence microscopy; Fourier analysis; Image processing, computer assisted; Mass screening; Neural networks (computer); Sputum; Tuberculosis

Indexed keywords

AURAMINE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACTERIUM IDENTIFICATION; COMPUTER ASSISTED DIAGNOSIS; COST CONTROL; DIAGNOSTIC ACCURACY; FLUORESCENCE MICROSCOPE; IMAGE ANALYSIS; MASS SCREENING; MYCOBACTERIUM TUBERCULOSIS; PRIORITY JOURNAL; SPUTUM SMEAR; TUBERCULOSIS;

EVALUATION STUDIES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROSCOPY, FLUORESCENCE; MYCOBACTERIUM TUBERCULOSIS; NEURAL NETWORKS (COMPUTER); SENSITIVITY AND SPECIFICITY; SPUTUM; TUBERCULOSIS, PULMONARY;

EID: 0032837996     PISSN: 08846812     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

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