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http://hdl.handle.net/1843/50652| Tipo: | Artigo de Periódico |
| Título: | Canine mammary cancer diagnosis from quantitative properties of nonlinear optical images |
| Autor(es): | Luana Aparecida dos Reis Ana Paula Vargas Garcia Egleidson Frederik do Amaral Gomes Francis G. J. Longford Jeremy Graham Frey Geovanni Dantas Cassali Ana Maria de Paula |
| Resumo: | We present nonlinear microscopy imaging results and analysis from canine mammary cancer biopsies. Second harmonic generation imaging allows information of the collagen structure in the extracellular matrix that together with the fluorescence of the cell regions of the biopsies form a base for comprehensive image analysis. We demonstrate an automated image analysis method to classify the histological type of canine mammary cancer using a range of parameters extracted from the images. The software developed for image processing and analysis allows for the extraction of the collagen fibre network and the cell regions of the images. Thus, the tissue properties are obtained after the segmentation of the image and the metrics are measured specifically for the collagen and the cell regions. A linear discriminant analysis including all the extracted metrics allowed to clearly separate between the healthy and cancerous tissue with a 91%-accuracy. Also, a 61%-accuracy was achieved for a comparison of healthy and three histological cancer subtypes studied. |
| Assunto: | Microscopia Câncer Óptica não-linear |
| Idioma: | eng |
| País: | Brasil |
| Editor: | Universidade Federal de Minas Gerais |
| Sigla da Instituição: | UFMG |
| Departamento: | ICX - DEPARTAMENTO DE FÍSICA |
| Tipo de Acesso: | Acesso Aberto |
| Identificador DOI: | https://doi.org/10.1364/BOE.400871 |
| URI: | http://hdl.handle.net/1843/50652 |
| Data do documento: | 2020 |
| metadata.dc.url.externa: | https://opg.optica.org/boe/fulltext.cfm?uri=boe-11-11-6413&id=441702 |
| Aparece nas coleções: | Artigo de Periódico |
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|---|---|---|---|---|
| Canine mammary cancer diagnosis from.pdf | 8.09 MB | Adobe PDF | Visualizar/Abrir |
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