[HTML][HTML] Deep learning for pneumonia detection in chest x-ray images: A comprehensive survey

R Siddiqi, S Javaid - Journal of imaging, 2024 - mdpi.com
This paper addresses the significant problem of identifying the relevant background and
contextual literature related to deep learning (DL) as an evolving technology in order to …

Pneumonia detection using chest radiographs with novel efficientnetv2l model

M Ali, M Shahroz, U Akram, MF Mushtaq… - IEEE …, 2024 - ieeexplore.ieee.org
Pneumonia is a potentially life-threatening infectious disease that is typically diagnosed
through physical examinations and diagnostic imaging techniques such as chest X-rays …

An Explainable Contrastive-based Dilated Convolutional Network with Transformer for Pediatric Pneumonia Detection

CS Raghaw, PS Bhore, MZU Rehman, N Kumar - Applied Soft Computing, 2024 - Elsevier
Pediatric pneumonia remains a significant global threat, surpassing all other communicable
diseases in child mortality and necessitating rapid diagnosis. UNICEF identifies it as a …

Identification of fish hunger degree with deformable attention transformer

Y Wu, H Xu, X Wu, H Wang, Z Zhai - Journal of Marine Science and …, 2024 - mdpi.com
Feeding is a critical process in aquaculture, as it has a direct impact on the quantity and
quality of fish. With advances in convolutional neural network (CNN) and vision transformer …

A novel deep learning-based approach for prediction of neonatal respiratory disorders from chest x-ray images

AE Yildirim, M Canayaz - Biocybernetics and Biomedical Engineering, 2023 - Elsevier
In recent years, many diseases can be diagnosed in a short time with the use of deep
learning models in the field of medicine. Most of the studies in this area focus on adult or …

Stacked ensemble learning for facial gender classification using deep learning based features extraction

F Waris, F Da, S Liu - Cluster Computing, 2024 - Springer
Automatic gender classification is an important task in facial analysis. Recently, deep
learning has achieved remarkable progress in extracting deep features for face image …

Pneumonia App: a mobile application for efficient pediatric pneumonia diagnosis using explainable convolutional neural networks (CNN)

J Deng, Z Chen, M Chen, L Xu, J Yang, Z Luo… - arxiv preprint arxiv …, 2024 - arxiv.org
Mycoplasma pneumoniae pneumonia (MPP) poses significant diagnostic challenges in
pediatric healthcare, especially in regions like China where it's prevalent. We introduce …

Reinforced Collaborative-Competitive Representation for Biomedical Image Recognition

J **, S Zhou, Y Li, T Zhu, C Fan, H Zhang… - Interdisciplinary Sciences …, 2025 - Springer
Artificial intelligence technology has demonstrated remarkable diagnostic efficacy in modern
biomedical image analysis. However, the practical application of artificial intelligence is …

Res-MGCA-SE: a lightweight convolutional neural network based on vision transformer for medical image classification

S Soleimani-Fard, S Ko - Neural Computing and Applications, 2024 - Springer
This paper presents a lightweight and accurate convolution neural network (CNN) based on
encoder in vision transformer structure, which uses multigroup convolution rather than …

Concept complement bottleneck model for interpretable medical image diagnosis

H Wang, J Hou, H Chen - arxiv preprint arxiv:2410.15446, 2024 - arxiv.org
Models based on human-understandable concepts have received extensive attention to
improve model interpretability for trustworthy artificial intelligence in the field of medical …