Mostrando 2 resultados de: 2
Filtros aplicados
Subtipo de publicación
Conference Object(2)
Publisher
ACM International Conference Proceeding Series(1)
Communications in Computer and Information Science(1)
Área de conocimiento
Aprendizaje automático(2)
Ciencias de la computación(2)
Infección(1)
Laboratorio médico(1)
Origen
scopus(2)
Pre-processing and Handling Unbalanced Data in CNN for Improving Automated Detection of COVID-19 Cases: Preliminary Results
Conference ObjectAbstract: In the context of the COVID-19 pandemic, early diagnosis and treatment are crucial to avoid a drastiPalabras claves:Chest X-ray classification, Convolutional Neural Networks (CNNs), IMAGE PROCESSINGAutores:Carlos Bustamante-Orellana, Franz Paul Guzman, Hector Andres Mejia, Lorena Guachi-GuachiFuentes:scopusThe impact of histogram equalization and color mapping on ResNet-34's overall performance for COVID-19 detection
Conference ObjectAbstract: The COVID-19 pandemic has had a "devastating"impact on public health and well-being around the worldPalabras claves:covid-19, image pre-processing, ResNet-34Autores:Bustamante C.E., Franz Paul Guzman, Hector Andres Mejia, Jonathan David Freire, Jordan Rodrigo Montenegro, Lorena Guachi-Guachi, Ronny Xavier VelasteguíFuentes:scopus