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...

Descrición completa

Detalles Bibliográficos

Principais autores:	Athanasios Voulodimos, Eftychios Protopapadakis, Iason Katsamenis, Anastasios Doulamis, Nikolaos Doulamis
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2021-03-01
Series:	Sensors
Assuntos:	deep learning few-shot learning semantic segmentation CT images COVID-19
Acceso en liña:	https://www.mdpi.com/1424-8220/21/6/2215
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!