Application of deep learning to identify COVID-19 infection in posteroanterior chest X-rays

INTRODUCTION: The objective of this study was to assess seven configurations of six convolutional deep neural network architectures for classification of chest X-rays (CXRs) as COVID-19 positive or negative. METHODS: The primary dataset consisted of 294 COVID-19 positive and 294 COVID-19 negative CX...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Clin Imaging
Main Authors: Maharjan, Jenish, Calvert, Jacob, Pellegrini, Emily, Green-Saxena, Abigail, Hoffman, Jana, McCoy, Andrea, Mao, Qingqing, Das, Ritankar
Formato: Artigo
Idioma:Inglês
Publicado em: The Authors. Published by Elsevier Inc. 2021
Assuntos:
Artificial Intelligence
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8302887/
https://ncbi.nlm.nih.gov/pubmed/34425544
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.clinimag.2021.07.004
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados