Lung segmentation and automatic detection of COVID-19 using radiomic features from chest CT images

C Zhao, Y Xu, Z He, J Tang, Y Zhang, J Han, Y Shi… - Pattern Recognition, 2021 - Elsevier
This paper aims to develop an automatic method to segment pulmonary parenchyma in
chest CT images and analyze texture features from the segmented pulmonary parenchyma …

Covid-19 computer-aided diagnosis through ai-assisted ct imaging analysis: Deploying a medical ai system

D Gerogiannis, A Arsenos, D Kollias… - arXiv preprint arXiv …, 2024 - arxiv.org
Computer-aided diagnosis (CAD) systems stand out as potent aids for physicians in
identifying the novel Coronavirus Disease 2019 (COVID-19) through medical imaging …

Lung Infection Segmentation for COVID‐19 Pneumonia Based on a Cascade Convolutional Network from CT Images

R Ranjbarzadeh… - BioMed Research …, 2021 - Wiley Online Library
The COVID‐19 pandemic is a global, national, and local public health concern which has
caused a significant outbreak in all countries and regions for both males and females …

From community-acquired pneumonia to COVID-19: a deep learning–based method for quantitative analysis of COVID-19 on thick-section CT scans

Z Li, Z Zhong, Y Li, T Zhang, L Gao, D Jin, Y Sun… - European …, 2020 - Springer
Objective To develop a fully automated AI system to quantitatively assess the disease
severity and disease progression of COVID-19 using thick-section chest CT images …