DocumentCode
617358
Title
Automated diagnosis of human intestinal parasites using optical microscopy images
Author
Suzuki, Celso T. N. ; Gomes, Jancarlo F. ; Falcao, Alexandre X. ; Shimizu, Sumie H. ; Papa, Joao Paulo
Author_Institution
IMMUNOCAMP Pesquisa e Desenvolvimento de Tecnol., Campinas, Brazil
fYear
2013
fDate
7-11 April 2013
Firstpage
460
Lastpage
463
Abstract
Intestinal parasitosis constitutes a serious health problem in most tropical countries. The diagnosis of enteroparasites in laboratory routine relies on the examination of stool samples using optical microscopy and the error rates usually range from moderate to high. Approaches based on automatic image analysis have been proposed, but the methods are usually specific for some species, some of them are computationally expensive, and image acquisition and focus are manual. We present a solution to automate the diagnosis of the 15 most common species of enteroparasites in Brazil, using a sensitive parasitological technique, a motorized microscope with digital camera for automatic image acquisition and focus, and fast image analysis methods. The results indicate that our solution is effective and suitable for laboratory routine, in which the exam must be concluded in a few minutes.
Keywords
biological organs; biomedical optical imaging; image segmentation; medical image processing; microorganisms; Brazil; automatic image acquisition; automatic image analysis; digital camera; fast image analysis method; health problem; human intestinal parasites automated diagnosis; image segmentation; motorized microscope; optical microscopy images; sensitive parasitology; stool sample examination; Image analysis; Image segmentation; Impurities; Laboratories; Microscopy; Optical imaging; Optical microscopy; Automated diagnosis; image segmentation; intestinal parasitosis; microscopy image analysis; pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Biomedical Imaging (ISBI), 2013 IEEE 10th International Symposium on
Conference_Location
San Francisco, CA
ISSN
1945-7928
Print_ISBN
978-1-4673-6456-0
Type
conf
DOI
10.1109/ISBI.2013.6556511
Filename
6556511
Link To Document