| Computer-aided identification of renal corpuscle elements in RGB and HLS color images. | |
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MedLine Citation:
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PMID: 16607756 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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OBJECTIVES: The aim of the study was the elaboration of a technique for constructing reliable color models in the RGB and HLS spaces for each element of the structure of the renal corpuscle. MATERIAL AND METHODS: We analyzed images captured from trichrome stained fragments of renal biopsy. Each image contained a single renal corpuscle. The identification procedure used the software tools specialized in color image analysis provided by the Zeiss KS400 environment. RESULTS: There were defined specific chromatic domains in the RGB and HLS space for the identification of the following elements: the Bowman space and the glomerular capillaries (white colored regions), the nuclei (brown colored regions), the mesangium (green colored regions). DISCUSSIONS: In order to get a relevant picture of the role played by the decisions made in the definition of the chromatic domains, we performed two tests for the modification of the chromatic domain allocated to the mesangium in the RGB and HLS space, respectively. CONCLUSION: The procedures proposed for the identification of the RGB and HLS color models can successfully replace the manual delineation of the renal corpuscle elements. Such models represent an important step in our research visualizing the future development of computer programs for automated measurements of renal corpuscle elements. |
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Authors:
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Irina-Draga Căruntu |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Revista medico-chirurgicală̆ a Societă̆ţ̜ii de Medici ş̧i Naturaliş̧ti din Iaş̧i Volume: 109 ISSN: 0048-7848 ISO Abbreviation: Rev Med Chir Soc Med Nat Iasi Publication Date: 2005 Jul-Sep |
Date Detail:
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Created Date: 2006-04-12 Completed Date: 2006-06-27 Revised Date: 2011-01-13 |
Medline Journal Info:
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Nlm Unique ID: 0413735 Medline TA: Rev Med Chir Soc Med Nat Iasi Country: Romania |
Other Details:
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Languages: eng Pagination: 589-96 Citation Subset: IM |
Affiliation:
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Gr.T. Popa University of Medicine and Pharmacy Iaşi, School of Dental Medicine, Department of Histology. |
Export Citation:
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| MeSH Terms | |
Descriptor/Qualifier:
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Color* Humans Image Processing, Computer-Assisted* / methods Nephrons / ultrastructure* Software* Staining and Labeling |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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