Title
Implementation of a model based on deep learning techniques applied to computer vision in the classification of x-ray images, for the support of the diagnosis of traumatological injuries of the pelvic structure
Other title
Implementación de un modelo basado en técnicas de deep learning aplicado a la visión computacional en la clasificación de imágenes de rayos x, para el soporte del diagnóstico de lesiones traumatológicas de la estructura pélvica
Date Issued
01 January 2019
Access level
open access
Resource Type
conference paper
Author(s)
López M.A.
Universidad Nacional de San Agustín de Arequipa
Publisher(s)
Latin American and Caribbean Consortium of Engineering Institutions
Abstract
This article describes the implementation of a model based on Deep Learning techniques applied to computational vision in the activity of classifying X-ray images as support in the diagnosis of traumatic lesions of the pelvic structure, specifically the acetabulum of the pelvis. In the area of Medical Sciences, nowadays, it is essential to have automated tools that support medical diagnosis. For the construction of these tools it is necessary to analyze the different techniques or methods provided by Computing, specifically Deep Learning, for the processing and interpretation of images and potentialize them with the application of GPUs to accelerate the achievement of results.
Volume
2019-July
Language
Spanish
OCDE Knowledge area
Biotecnología relacionada con la salud
Subjects
Scopus EID
2-s2.0-85073623762
ISSN of the container
24146390
ISBN of the container
978-099934436-1
Conference
Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
Sources of information:
Directorio de Producción Científica
Scopus