Background: COVID-19 lung segmentation using Computed Tomography (CT) scans is
important for the diagnosis of lung severity. The process of automated lung segmentation is …

Background: For COVID-19 lung severity, segmentation of lungs on computed tomography
(CT) is the first crucial step. Current deep learning (DL)-based Artificial Intelligence (AI) …

Lung segmentation algorithms play a significant role in segmenting theinfected regions in
the lungs. This work aims to develop a computationally efficient and robust deep learning …

(1) Background: COVID-19 computed tomography (CT) lung segmentation is critical for
COVID lung severity diagnosis. Earlier proposed approaches during 2020–2021 were …

Background: Automated image segmentation is an essential step in quantitative image
analysis. This study assesses the performance of a deep learning-based model for lung …

Purpose To assess the impact of lung segmentation accuracy in an automatic pipeline for
quantitative analysis of CT images. Methods Four different platforms for automatic lung …

Background Currently, there is an urgent need for efficient tools to assess the diagnosis of
COVID-19 patients. In this paper, we present feasible solutions for detecting and labeling …

Purpose COVID-19 is a hot issue right now, and it's causing a huge number of infections in
people, posing a grave threat to human life. Deep learning-based image diagnostic …

We present a deep learning (DL)‐based automated whole lung and COVID‐19 pneumonia
infectious lesions (COLI‐Net) detection and segmentation from chest computed tomography …

Abstract Corona Virus Disease 2019 (COVID-19) has affected millions of people worldwide
and caused more than 6.3 million deaths (World Health Organization, June 2022). Increased …