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https://repositorio.inpa.gov.br/handle/1/19999
Título: | Automatic identification of mycobacterium tuberculosis with conventional light microscopy |
Autor: | Costa, Marly Guimarães Fernandes Costa Filho, Cícero Ferreira Fernandes Sena, Juliana F. Salem, Júlia Ignez Lima, Mari O. de |
Palavras-chave: | Automation Electronic Data Interchange Microscopy, Fluorescence Adaptive Threshold Segmentations Automatic Identifications Green Colors Light Microscopies Microscopy Images Mycobacterium Tuberculosis Segmentation Methods Segmented Images Color Algorithm Artificial Intelligence Pattern Recognition, Automated Computer Assisted Diagnosis Cytology Evaluation Study Image Enhancement Methodology Microscopy Mycobacterium Tuberculosis Reproducibility Sensitivity And Specificity Algorithms Artificial Intelligence Image Enhancement Image Interpretation, Computer-assisted Microscopy Mycobacterium Tuberculosis Pattern Recognition, Automated Reproducibility Of Results Sensitivity And Specificity |
Data do documento: | 2008 |
Editor: | Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'08 - "Personalized Healthcare through Technology" |
É parte de: | Pags. 382-385 |
Abstract: | This article presents an automatic identification method of mycobacterium tuberculosis with conventional microscopy images based on Red and Green color channels using global adaptive threshold segmentation. Differing from fluorescence microscopy, in the conventional microscopy the bacilli are not easily distinguished from the background. The key to the bacilli segmentation method employed in this work is the use of Red minus Green (R-G) images from RGB color format. In this image, the bacilli appear as white regions on a dark background. Some artifacts are present in the (R-G) segmented image. To remove them we used morphological, color and size filters. The best sensitivity achieved was about 76.65%. The main contribution of this work was the proposal of the first automatic identification method of tuberculosis bacilli for conventional light microscopy. © 2008 IEEE. |
Aparece nas coleções: | Trabalhos Apresentados em Evento |
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