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[HTML][HTML] Deep learning for pneumonia detection in chest x-ray images: A comprehensive survey
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 …
contextual literature related to deep learning (DL) as an evolving technology in order to …
Pneumonia detection using chest radiographs with novel efficientnetv2l model
Pneumonia is a potentially life-threatening infectious disease that is typically diagnosed
through physical examinations and diagnostic imaging techniques such as chest X-rays …
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
Pediatric pneumonia remains a significant global threat, surpassing all other communicable
diseases in child mortality and necessitating rapid diagnosis. UNICEF identifies it as a …
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 …
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
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 …
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 …
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)
Mycoplasma pneumoniae pneumonia (MPP) poses significant diagnostic challenges in
pediatric healthcare, especially in regions like China where it's prevalent. We introduce …
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 …
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
This paper presents a lightweight and accurate convolution neural network (CNN) based on
encoder in vision transformer structure, which uses multigroup convolution rather than …
encoder in vision transformer structure, which uses multigroup convolution rather than …
Concept complement bottleneck model for interpretable medical image diagnosis
Models based on human-understandable concepts have received extensive attention to
improve model interpretability for trustworthy artificial intelligence in the field of medical …
improve model interpretability for trustworthy artificial intelligence in the field of medical …