Desarrollo de una interfaz web que establezca un diagnóstico preliminar de caries en el espectro visible y no visible usando un controlador difuso.
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2019-04
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Universidad de Guayaquil. Facultad de Ciencias Matemáticas y Físicas. Carrera de Ingeniería En Sistemas Computacionales
Resumen
La necesidad de una interfaz web en la Facultad Piloto de Odontología, que diagnostique una caries en el espectro visible y no visible por medio de fotografías, es motivo por el cual nace que se inicie esta investigación. Para crear un controlador difuso se usó la herramienta Matlab mediante el algoritmo de Sobel, que es aplicado a la segmentación de imágenes de bordes con un entrenamiento de lógica difusa, la cual se retroalimento en base a datos de características de piezas dentales en pixeles que muestra la interfaz web para proceder hacer una comparativa y verificar cuanto de efectividad tiene la lógica borrosa en base a conocimientos de expertos en el tema odontológico, para proceder a identificar en un paciente que tipo de caries presenta, por medio de imágenes a color, determinando el grado que se encuentra afectada la pieza dental y consecutivamente a esto se generará dos reportes de listados de pacientes y otro con sus diagnósticos previo al procesamiento hecho, con esto se podrá tener un control de las consultas diarias de cada odontólogo. Se utilizó la metodología scrum para el desarrollo de esta, brindando al odontólogo un rápido resultado acorde a sus conocimientos.
The need for a web interface in the Faculty of Dentistry, which diagnoses a caries in the visible spectrum and not visible by means of photographs, is the reason why this investigation was born. To create a fuzzy controller the Matlab tool was used by the Sobel algorithm, which is applied to the segmentation of edge images with a fuzzy logic training, which is feedback based on data of features of teeth in pixels that shows the web interface to proceed to make a comparison and verify how effective the fuzzy logic is based on the knowledge of experts in the dental field, to proceed to identify in a patient what type of caries it presents, by means of color images, determining the degree that is affected the tooth and consecutively to this will generate two reports of patient lists and another with their diagnoses prior to the processing done, with this you can have a control of the daily consultations of each dentist. The scrum methodology was used for the development of this, giving the dentist a quick result according to their knowledge.
The need for a web interface in the Faculty of Dentistry, which diagnoses a caries in the visible spectrum and not visible by means of photographs, is the reason why this investigation was born. To create a fuzzy controller the Matlab tool was used by the Sobel algorithm, which is applied to the segmentation of edge images with a fuzzy logic training, which is feedback based on data of features of teeth in pixels that shows the web interface to proceed to make a comparison and verify how effective the fuzzy logic is based on the knowledge of experts in the dental field, to proceed to identify in a patient what type of caries it presents, by means of color images, determining the degree that is affected the tooth and consecutively to this will generate two reports of patient lists and another with their diagnoses prior to the processing done, with this you can have a control of the daily consultations of each dentist. The scrum methodology was used for the development of this, giving the dentist a quick result according to their knowledge.
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Caries, Segmentación, Diagnóstico, Odontograma, Lógica difusa