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 …

Ensembling shallow siamese architectures to assess functional asymmetry in Alzheimer's disease progression

JE Arco, A Ortiz, D Castillo-Barnes, JM Górriz… - Applied Soft …, 2023 - Elsevier
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 …

[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 …

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 …

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 …

DFU-Helper: An innovative framework for longitudinal diabetic foot ulcer diseases evaluation using deep learning

MSA Toofanee, S Dowlut, M Hamroun, K Tamine… - Applied Sciences, 2023 - mdpi.com
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 …

A Novel Classification Model Using Optimal Long Short-Term Memory for Classification of COVID-19 from CT Images

R Vinothini, G Niranjana, F Yakub - Journal of Digital Imaging, 2023 - Springer
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 …

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 …

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 …

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 …