Cargando…
CoLe-CNN+: Context learning - Convolutional neural network for COVID-19-Ground-Glass-Opacities detection and segmentation
BACKGROUND AND OBJECTIVE: The most common tool for population-wide COVID-19 identification is the Reverse Transcription-Polymerase Chain Reaction test that detects the presence of the virus in the throat (or sputum) in swab samples. This test has a sensitivity between 59% and 71%. However, this test...
Autores principales: | Pezzano, Giuseppe, Díaz, Oliver, Ripoll, Vicent Ribas, Radeva, Petia |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd.
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8324386/ https://www.ncbi.nlm.nih.gov/pubmed/34364263 http://dx.doi.org/10.1016/j.compbiomed.2021.104689 |
Ejemplares similares
-
Peripheral consolidation/ground-glass opacities
por: Marchiori, Edson, et al.
Publicado: (2020) -
GROUND GLASS OPACITIES: IT'S NOT ALL COVID
por: RAMIREZ, LEANDRO, et al.
Publicado: (2021) -
Ground-glass opacities with subpleural sparing
por: Marchiori, Edson, et al.
Publicado: (2021) -
An Automatic Random Walker Algorithm for Segmentation of Ground Glass Opacity Pulmonary Nodules
por: Li, Xiangxia, et al.
Publicado: (2022) -
Ground-glass opacities accompanied by pulmonary cysts
por: Marchiori, Edson, et al.
Publicado: (2020)