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Algorithm for detection of overlapped red blood cells in microscopic images of blood smears
| Content Provider | Semantic Scholar |
|---|---|
| Author | Rondón, Miguel Fabián Romero Rosas, Laura Melissa Sanabria Rozo, Lola Xiomara Bautista Castellanos, Alfonso Mendoza |
| Copyright Year | 2016 |
| Abstract | espanolEl hemograma es uno de los examenes medicos mas solicitados, ya que ofrece informacion detallada sobre las tres lineas celulares presentes en la sangre: la serie roja, la blanca y la plaquetaria. Para emitir algunos diagnosticos el especialista debe hacerlo de forma manual, observando en el microscopio las celulas sanguineas, lo que implica mayor esfuerzo. Con el proposito de facilitar este trabajo, se han propuesto diferentes tecnicas de procesamiento digital de imagenes para la deteccion y clasificacion de globulos rojos, pero se ha encontrado un problema muy comun que es la presencia de celulas superpuestas, lo cual genera diversos errores en los resultados. Por esta razon, se propone la implementacion de un algoritmo que permita abordar el problema de superposicion de globulos rojos en imagenes de frotis celular, con el fin de dar soporte al especialista en el proceso de lectura visual. El metodo fue probado con 50 imagenes, con las cuales se calcularon los indices de especificidad y sensibilidad, mostrando la efectividad del algoritmo desarrollado. EnglishThe hemogram is one of the most requested medical tests as it presents details about the three cell series in the blood: red series, white series and platelet series. To make some diagnostics, the specialist must undertake the test manually, observing the blood cells under the microscope, which implies a great physical effort. In order to facilitate this work, different digital image processing techniques to detect and classify red blood cells have been proposed. However, a common problem is the presence of overlapped cells, which generate various flaws in the analysis. Therefore, the implementation of an algorithm to address the problem of red blood cells overlapped in cellular smear images is proposed in order to support the clinician in the visual reading process. The method was tested with 50 images in which the indices of sensitivity and specificity were calculated, and the effectiveness of the algorithm developed was shown. |
| Starting Page | 187 |
| Ending Page | 194 |
| Page Count | 8 |
| File Format | PDF HTM / HTML |
| Volume Number | 83 |
| Alternate Webpage(s) | http://www.scielo.org.co/pdf/dyna/v83n198/v83n198a23.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
