A Few-Shot U-Net Deep Learning Model for COVID-19 Infected Area Segmentation in CT Images

Recent studies indicate that detecting radiographic patterns on CT chest scans can yield high sensitivity and specificity for COVID-19 identification. In this paper, we scrutinize the effectiveness of deep learning models for semantic segmentation of pneumonia-infected area segmentation in CT images...

Descripción completa

Detalles Bibliográficos
Autores principales: Voulodimos, Athanasios, Protopapadakis, Eftychios, Katsamenis, Iason, Doulamis, Anastasios, Doulamis, Nikolaos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8004971/
https://www.ncbi.nlm.nih.gov/pubmed/33810066
http://dx.doi.org/10.3390/s21062215

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8004971/
https://www.ncbi.nlm.nih.gov/pubmed/33810066
http://dx.doi.org/10.3390/s21062215

Ejemplares similares