A comprehensive review of machine learning used to combat COVID-19

R Gomes, C Kamrowski, J Langlois, P Rozario, I Dircks… - Diagnostics, 2022 - mdpi.com
Coronavirus disease (COVID-19) has had a significant impact on global health since the
start of the pandemic in 2019. As of June 2022, over 539 million cases have been confirmed …

Pneumonia detection on chest X-ray images using ensemble of deep convolutional neural networks

A Mabrouk, RP Diaz Redondo, A Dahou… - Applied Sciences, 2022 - mdpi.com
Pneumonia is a life-threatening lung infection resulting from several different viral infections.
Identifying and treating pneumonia on chest X-ray images can be difficult due to its similarity …

A Historical Survey of Advances in Transformer Architectures

AR Sajun, I Zualkernan, D Sankalpa - Applied Sciences, 2024 - mdpi.com
In recent times, transformer-based deep learning models have risen in prominence in the
field of machine learning for a variety of tasks such as computer vision and text generation …

[PDF][PDF] Improved Pneumonia Discovery and Classification by Convolutional Neural Network.

SH Abdullah - International Journal of Advances in Soft Computing & …, 2023 - i-csrs.org
Training and comparing different images using deep learning techniques play a vital role in
image classification. However, these are typically dependent on large scales of datasets and …

The Capacity of Artificial Intelligence in COVID-19 Response: A Review in Context of COVID-19 Screening and Diagnosis

DU Ozsahin, NA Isa, B Uzun - Diagnostics, 2022 - mdpi.com
Artificial intelligence (AI) has been shown to solve several issues affecting COVID-19
diagnosis. This systematic review research explores the impact of AI in early COVID-19 …

Pneumonia Detection in Chest X-Ray Images by using Resnet-50 Deep Learning Algorithm

V Kadali, BS Pudi, KA Shaik, A Janjam… - … and Smart Energy …, 2023 - ieeexplore.ieee.org
A number of different viral infections can result in pneumonia, a serious lung infection that
can be fatal. Due to pneumonia's resemblance to other lung diseases, diagnosing and …

Cold PAWS: Unsupervised class discovery and addressing the cold-start problem for semi-supervised learning

EJ Mannix, HD Bondell - arxiv preprint arxiv:2305.10071, 2023 - arxiv.org
In many machine learning applications, labeling datasets can be an arduous and time-
consuming task. Although research has shown that semi-supervised learning techniques …

Pediatric Pneumonia Detection in Chest X-ray Images: A Deep Feature Analysis Approach Enhanced with LightGBM

AB Godbin, SG Jasmine - 2024 IEEE International Conference …, 2024 - ieeexplore.ieee.org
Pediatric pneumonia remains a significant concern for public health, underscoring the need
for efficient and precise diagnostic tools to enable timely intervention. In this research, we …