A deep learning based model for the detection of pneumonia from chest X-ray images using VGG-16 and neural networks

S Sharma, K Guleria - Procedia Computer Science, 2023 - Elsevier
Pneumonia is a viral infection which affects a significant proportion of individuals, especially
in developing and penurious countries where contamination, overcrowded, and unsanitary …

Privacy-enhanced pneumonia diagnosis: IoT-enabled federated multi-party computation in industry 5.0

AA Siddique, W Boulila, MS Alshehri… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Pneumonia is a significant global health concern that can lead to severe and sometimes
fatal consequences. Timely identification and classification of pneumonia can substantially …

[HTML][HTML] Clinical applications of artificial intelligence in identification and management of bacterial infection: Systematic review and meta-analysis

M Zubair - Saudi Journal of Biological Sciences, 2024 - Elsevier
Pneumonia is declared a global emergency public health crisis in children less than five age
and the geriatric population. Recent advancements in deep learning models could be …

A real time method for distinguishing COVID-19 utilizing 2D-CNN and transfer learning

A Sultana, M Nahiduzzaman, SC Bakchy, SM Shahriar… - Sensors, 2023 - mdpi.com
Rapid identification of COVID-19 can assist in making decisions for effective treatment and
epidemic prevention. The PCR-based test is expert-dependent, is time-consuming, and has …

Classification of Paediatric Pneumonia Using Modified DenseNet-121 Deep-Learning Model

TS Arulananth, SW Prakash, RK Ayyasamy… - IEEE …, 2024 - ieeexplore.ieee.org
There is a substantial worldwide effect, both in terms of disease and death, that is caused by
pediatric pneumonia, which is a disorder that affects children under the age of five. Even …

Pneumonia detection in chest X-ray images: Handling class imbalance

W Ali, E Qureshi, OA Farooqi, RA Khan - arXiv preprint arXiv:2301.08479, 2023 - arxiv.org
People all over the globe are affected by pneumonia but deaths due to it are highest in Sub-
Saharan Asia and South Asia. In recent years, the overall incidence and mortality rate of …

Spike-event x-ray image classification for 3d-NoC-based neuromorphic pneumonia detection

J Wang, OM Ikechukwu, KN Dang, AB Abdallah - Electronics, 2022 - mdpi.com
The success of deep learning in extending the frontiers of artificial intelligence has
accelerated the application of AI-enabled systems in addressing various challenges in …

NRSTRNet: a novel network for noise-robust scene text recognition

H Yue, Y Huang, CM Vong, Y Jin, Z Zeng, M Yu… - International Journal of …, 2023 - Springer
Scene text recognition (STR) has been widely applied in industrial and commercial fields.
However, existing methods still face challenges when processing text images with defects …

Vision transformer based ResNet model for pneumonia prediction

TS Sowmya, T Narasimhulu, G Sunitha… - … on Electronics and …, 2023 - ieeexplore.ieee.org
This research study aims to develop a pneumonia detection system using vision
transformers. Pneumonia is a very serious respiratory illness that may result in severe health …

[HTML][HTML] An improvement of the CNN-XGboost model for pneumonia disease classification

Y Hedhoud, T Mekhaznia… - Polish Journal of Radiology, 2023 - ncbi.nlm.nih.gov
Purpose X-ray images are viewed as a vital component in emergency diagnosis. They are
often used by deep learning applications for disease prediction, especially for thoracic …