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Identification of Pneumonia with X-ray Images Using Deep Transfer Learning
Autor | Díaz Román, José David | |
Accedido | 2024-01-15T17:31:03Z | |
Disponible | 2024-01-15T17:31:03Z | |
Fecha de publicación | 2023-10-26 | es_MX |
ISBN | 978-3-031-46932-9 | |
ISBN | 978-3-031-46933-6 | |
Identificador de objeto (URI) | http://cathi.uacj.mx/20.500.11961/27737 | |
Resumen/Abstract | Radiology plays an essential role in the identification of pathologies; however, image interpretation and the guarantee of accurate diagnoses continue to represent a challenge that involves expert radiologists. This study proposes a model to identify pneumonia in chest X-rays using the deep transfer learning technique, where five pre-trained network architectures and a classifier are tested. The images used in this work are categorized into bacterial pneumonia, viral pneumonia, and normal cases. The pre-trained models used include DenseNet201, MobileNet, VGG16, VGG19 and ResNet50. A support vector machine is used as a classifier. Results show that the ResNet50 model performs best in binary classification (pneumonia vs. non-pneumonia) with 98.1% accuracy and 98.7 F1-score. For multiclassification, VGG19 performs best with an accuracy of 84.7% and an average F1-score of 81.1%. The methodology employed proved to be competent and outstanding when compared to other studies in the state of the art. | es_MX |
Descripción URI | https://link.springer.com/chapter/10.1007/978-3-031-46933-6_4 | es_MX |
Idioma ISO | spa | es_MX |
Editorial | Springer | es_MX |
Referencias físicas o lógicas | Producto de investigación IIT | es_MX |
Referencias físicas o lógicas | Instituto de Ingeniería y Tecnología | es_MX |
Tipo de licencia | Atribución-NoComercial-SinDerivadas 2.5 México | * |
Enlace a licencia | http://creativecommons.org/licenses/by-nc-nd/2.5/mx/ | * |
Tema | Pneumonia | es_MX |
Tema | X-ray images | es_MX |
Tema | Deep Transfer Learning | es_MX |
Tema | Support Vector Machine | es_MX |
Área de conocimiento CONACYT | info:eu-repo/classification/cti/7 | es_MX |
Título | Identification of Pneumonia with X-ray Images Using Deep Transfer Learning | es_MX |
Tipo de producto | Memoria in extenso | es_MX |
Imagen repositorio | http://ri.uacj.mx/vufind/thumbnails/rupiiit.png | es_MX |
Instituto (dcrupi) | Instituto de Ingeniería y Tecnología | es_MX |
Cosechable | Si | es_MX |
Subtipo | Investigación | es_MX |
Alcance | Internacional | es_MX |
País de la publicación | México | es_MX |
Coautor | Mederos, Boris | |
Coautor | Gordillo Castillo, Nelly | |
Coautor | Cota Ruiz, Juan De Dios | |
Coautor | Mejia, Jose | |
Alumno | 179315 | es_MX |
Tipo de evento | Congreso | es_MX |
Nombre de evento | XLVI Mexican Conference on Biomedical Engineering | es_MX |
Estado | Tabasco | es_MX |
dcrupi.colaboracionext | No | es_MX |
dcrupi.impactosocial | No | es_MX |
dcrupi.vinculadoproyext | No | es_MX |
dcrupi.pronaces | Salud | es_MX |
dcrupi.vinculadoproyint | No | es_MX |
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