[HTML][HTML] Explainable COVID-19 detection using chest CT scans and deep learning
This paper explores how well deep learning models trained on chest CT images can
diagnose COVID-19 infected people in a fast and automated process. To this end, we …
diagnose COVID-19 infected people in a fast and automated process. To this end, we …
Transfer learning based novel ensemble classifier for COVID-19 detection from chest CT-scans
NS Shaik, TK Cherukuri - Computers in Biology and Medicine, 2022 - Elsevier
Abstract Coronavirus Disease 2019 (COVID-19) is a deadly infection that affects the
respiratory organs in humans as well as animals. By 2020, this disease turned out to be a …
respiratory organs in humans as well as animals. By 2020, this disease turned out to be a …
[HTML][HTML] Challenges, opportunities, and advances related to COVID-19 classification based on deep learning
A Agnihotri, N Kohli - Data Science and Management, 2023 - Elsevier
The novel coronavirus disease, or COVID-19, is a hazardous disease. It is endangering the
lives of many people living in more than two hundred countries. It directly affects the lungs. In …
lives of many people living in more than two hundred countries. It directly affects the lungs. In …
Effective hybrid deep learning model for COVID‐19 patterns identification using CT images
DA Ibrahim, DA Zebari, HJ Mohammed… - Expert …, 2022 - Wiley Online Library
Abstract Coronavirus disease 2019 (COVID‐19) has attracted significant attention of
researchers from various disciplines since the end of 2019. Although the global epidemic …
researchers from various disciplines since the end of 2019. Although the global epidemic …
Stacking ensemble and ECA-EfficientNetV2 convolutional neural networks on classification of multiple chest diseases including COVID-19
ML Huang, YC Liao - Academic Radiology, 2023 - Elsevier
Rationale and Objectives Early detection and treatment of COVID-19 patients is crucial.
Convolutional neural networks have been proven to accurately extract features in medical …
Convolutional neural networks have been proven to accurately extract features in medical …
MFL-Net: An efficient lightweight multi-scale feature learning CNN for COVID-19 diagnosis from CT images
Timely and accurate diagnosis of coronavirus disease 2019 (COVID-19) is crucial in curbing
its spread. Slow testing results of reverse transcription-polymerase chain reaction (RT-PCR) …
its spread. Slow testing results of reverse transcription-polymerase chain reaction (RT-PCR) …
Automated diagnosis of COVID-19 using deep features and parameter free BAT optimization
Background: Accurate and fast diagnosis of COVID-19 is very important to manage the
medical conditions of affected persons. The task is challenging owing to shortage and …
medical conditions of affected persons. The task is challenging owing to shortage and …
[HTML][HTML] AMTLDC: a new adversarial multi-source transfer learning framework to diagnosis of COVID-19
H Alhares, J Tanha, MA Balafar - Evolving Systems, 2023 - Springer
In recent years, deep learning techniques have been widely used to diagnose diseases.
However, in some tasks, such as the diagnosis of COVID-19 disease, due to insufficient …
However, in some tasks, such as the diagnosis of COVID-19 disease, due to insufficient …
[HTML][HTML] Tokenization in the Theory of Knowledge
R Friedman - Encyclopedia, 2023 - mdpi.com
Definition Tokenization is a procedure for recovering the elements of interest in a sequence
of data. This term is commonly used to describe an initial step in the processing of …
of data. This term is commonly used to describe an initial step in the processing of …
ADA‐COVID: Adversarial Deep Domain Adaptation‐Based Diagnosis of COVID‐19 from Lung CT Scans Using Triplet Embeddings
Rapid diagnosis of COVID‐19 with high reliability is essential in the early stages. To this
end, recent research often uses medical imaging combined with machine vision methods to …
end, recent research often uses medical imaging combined with machine vision methods to …