A novel approach for CT-based COVID-19 classification and lesion segmentation based on deep learning
HM Truong, HT Huynh - The Computer Journal, 2023 - academic.oup.com
Abstract The coronavirus disease 2019 (COVID-19) pandemic has been a globally
dangerous crisis that causes an increasingly high death rate. Applying machine learning to …
dangerous crisis that causes an increasingly high death rate. Applying machine learning to …
[HTML][HTML] Framework for COVID-19 segmentation and classification based on deep learning of computed tomography lung images
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 …
and caused more than 6.3 million deaths (World Health Organization, June 2022). Increased …
A novel automated method for COVID-19 infection and lung segmentation using deep neural networks
S Mishra - 2020 - researchsquare.com
The COVID-19 pandemic first originated in Wuhan, China and has spread to every country
in the world. Without a viable cure in the near future, there is an urgent need for rapid …
in the world. Without a viable cure in the near future, there is an urgent need for rapid …
Automated segmentation of COVID-19 lesion from lung CT images using U-Net architecture
S Kadry, F Al-Turjman, V Rajinikanth - International Summit Smart City 360 …, 2020 - Springer
Pneumonia caused by the novel Coronavirus Disease (COVID-19) is emerged as a global
threat and considerably affected a large population globally irrespective of their age, race …
threat and considerably affected a large population globally irrespective of their age, race …
[PDF][PDF] Detection and severity classification of COVID-19 in CT images using deep learning. Diagnostics. 2021; 11: 893
Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients.
In this study, a cascaded system is proposed to segment the lung, detect, localize, and …
In this study, a cascaded system is proposed to segment the lung, detect, localize, and …
Detection and severity classification of COVID-19 in CT images using deep learning
Detecting COVID-19 at an early stage is essential to reduce the mortality risk of the patients.
In this study, a cascaded system is proposed to segment the lung, detect, localize, and …
In this study, a cascaded system is proposed to segment the lung, detect, localize, and …
Segmentation and classification of lungs CT-scan for detecting COVID-19 abnormalities by deep learning technique: U-Net model
AS Moosavi, A Mahboobi, F Arabzadeh… - Journal of Family …, 2024 - journals.lww.com
Background: Artificial intelligence (AI) techniques have been ascertained useful in the
analysis and description of infectious areas in radiological images promptly. Our aim in this …
analysis and description of infectious areas in radiological images promptly. Our aim in this …
Automatic deep learning system for COVID-19 infection quantification in chest CT
OI Alirr - Multimedia Tools and Applications, 2022 - Springer
The paper proposes an automatic deep learning system for COVID-19 infection areas
segmentation in chest CT scans. CT imaging proved its ability to detect the COVID-19 …
segmentation in chest CT scans. CT imaging proved its ability to detect the COVID-19 …
COVID-19 Disease Detection Using Deep Learning Techniques in CT Scan Images
Since the end of 2019, the whole world is still facing a big damage caused by the COVID-19
pandemic. There is an increasing need to build new robust systems used to recognize …
pandemic. There is an increasing need to build new robust systems used to recognize …
Segmentation of covid-19 infections on ct: Comparison of four unet-based networks
N Hasanzadeh, SS Paima… - 2020 27th National …, 2020 - ieeexplore.ieee.org
Diagnosis and staging of COVID-19 are crucial for optimal management of the disease. To
this end, novel image analysis methods need to be developed to assist radiologists with the …
this end, novel image analysis methods need to be developed to assist radiologists with the …