Automatic segmentation and classification of human intestinal parasites from microscopy images

IEEE Transactions on Bio-medical Engineering
Celso T N SuzukiSumie Hoshino-Shimizu

Abstract

Human intestinal parasites constitute a problem in most tropical countries, causing death or physical and mental disorders. Their diagnosis usually relies on the visual analysis of microscopy images, with error rates that may range from moderate to high. The problem has been addressed via computational image analysis, but only for a few species and images free of fecal impurities. In routine, fecal impurities are a real challenge for automatic image analysis. We have circumvented this problem by a method that can segment and classify, from bright field microscopy images with fecal impurities, the 15 most common species of protozoan cysts, helminth eggs, and larvae in Brazil. Our approach exploits ellipse matching and image foresting transform for image segmentation, multiple object descriptors and their optimum combination by genetic programming for object representation, and the optimum-path forest classifier for object recognition. The results indicate that our method is a promising approach toward the fully automation of the enteroparasitosis diagnosis.

References

Apr 6, 2004·Journal of Clinical Laboratory Analysis·Jancarlo Ferreira GomesFátima A M A Neves
Jan 11, 2005·Applied and Environmental Microbiology·Kenneth W WidmerSuresh D Pillai

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Citations

Aug 19, 2014·Computers in Biology and Medicine·Johan Musaeus BruunChristian M O Kapel
May 16, 2013·IEEE Transactions on Bio-medical Engineering·Yinghuan ShiDong Wang
Mar 31, 2016·International Journal for Parasitology·Paul SlusarewiczMartin K Nielsen
Feb 11, 2019·Tropical Medicine & International Health : TM & IH·Bianca Martins SantosJancarlo Ferreira Gomes
Jun 4, 2020·Revista Da Sociedade Brasileira De Medicina Tropical·Felipe Augusto SoaresJancarlo Ferreira Gomes
Sep 29, 2018·Information Visualization·Paulo E RauberAlexandru C Telea
Feb 3, 2021·Parasitology Research·Jennifer L CainMartin K Nielsen
Aug 10, 2020·Computers in Biology and Medicine·D OsakuA X Falcão

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