A systematic review on deep structured learning for COVID-19 screening using chest CT from 2020 to 2022
KC Santosh, D GhoshRoy, S Nakarmi - Healthcare, 2023 - mdpi.com
The emergence of the COVID-19 pandemic in Wuhan in 2019 led to the discovery of a novel
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
coronavirus. The World Health Organization (WHO) designated it as a global pandemic on …
Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression
The development of methods based on artificial intelligence for the classification of medical
imaging is widespread. Given the high dimensionality of this type of images, it is imperative …
imaging is widespread. Given the high dimensionality of this type of images, it is imperative …
[HTML][HTML] COVINet: A hybrid model for classification of COVID and non-COVID pneumonia in CT and X-Ray imagery
V Mittal, A Kumar - International Journal of Cognitive Computing in …, 2023 - Elsevier
The COVID-19 pandemic has resulted in a significant increase in the number of pneumonia
cases, including those caused by the Coronavirus. To detect COVID pneumonia, RT-PCR is …
cases, including those caused by the Coronavirus. To detect COVID pneumonia, RT-PCR is …
SARS‐CoV‐2 Prediction Strategy Based on Classification Algorithms from a Full Blood Examination
CF Choukhan, I Lasri, R El Hatimi… - The Scientific World …, 2023 - Wiley Online Library
A fast and efficient diagnosis of serious infectious diseases, such as the recent SARS‐CoV‐
2, is necessary in order to curb both the spread of existing variants and the emergence of …
2, is necessary in order to curb both the spread of existing variants and the emergence of …
A review of different deep learning methods in processing the CT scan images of the COVID-19 patients' lungs
H Zhang - Multiscale and Multidisciplinary Modeling, Experiments …, 2023 - Springer
The Coronavirus disease started in January 2020 in Wuhan, China, and the World Health
Organization (WHO) introduced it as a public disease and an international threat. In …
Organization (WHO) introduced it as a public disease and an international threat. In …
DFU-Helper: An innovative framework for longitudinal diabetic foot ulcer diseases evaluation using deep learning
Diabetes affects roughly 537 million people, and is predicted to reach 783 million by 2045.
Diabetes Foot Ulcer (DFU) is a major complication associated with diabetes and can lead to …
Diabetes Foot Ulcer (DFU) is a major complication associated with diabetes and can lead to …
A Novel Classification Model Using Optimal Long Short-Term Memory for Classification of COVID-19 from CT Images
The human respiratory system is affected when an individual is infected with COVID-19,
which became a global pandemic in 2020 and affected millions of people worldwide …
which became a global pandemic in 2020 and affected millions of people worldwide …
Lung Nodule Classification Using MobileNet Transfer Learning
R Ghosh, A Ahamed, B Sadhukhan… - 2023 9th International …, 2023 - ieeexplore.ieee.org
Lung cancer is one of the deadliest forms of cancer, responsible for millions of deaths
worldwide each year. The detection and classification of lung nodules can be challenging …
worldwide each year. The detection and classification of lung nodules can be challenging …
Few-Shot Lung Cancer Classification Using Prototypical Networks
NH Amarasinghe, TD Ambegoda - 2024 4th International …, 2024 - ieeexplore.ieee.org
Lung cancer, a leading cause of mortality globally, demands early and accurate detection to
improve patient out-comes. Current diagnostic methods, primarily relying on CT scans, face …
improve patient out-comes. Current diagnostic methods, primarily relying on CT scans, face …
Study and analysis of COVID 19 severity classification techniques using images: A challenging overview
N Abboju, G Reddy, G Karuna - AIP Conference Proceedings, 2024 - pubs.aip.org
Due to its extraordinarily contagious nature, the Corona virus disease (COVID-19), which
initially started in December 2019, has seriously imperiled the world's healthcare systems …
initially started in December 2019, has seriously imperiled the world's healthcare systems …