[HTML][HTML] A multichannel EfficientNet deep learning-based stacking ensemble approach for lung disease detection using chest X-ray images
This paper proposes a multichannel deep learning approach for lung disease detection
using chest X-rays. The multichannel models used in this work are EfficientNetB0 …
using chest X-rays. The multichannel models used in this work are EfficientNetB0 …
Transfer learning approach for pediatric pneumonia diagnosis using channel attention deep CNN architectures
Chest X-ray is the most commonly adopted non-invasive and painless diagnostic test for
pediatric pneumonia. However, the low radiation levels for diagnosis make accurate …
pediatric pneumonia. However, the low radiation levels for diagnosis make accurate …
[HTML][HTML] Pediatric pneumonia diagnosis using stacked ensemble learning on multi-model deep CNN architectures
Pediatric pneumonia has drawn immense awareness due to the high mortality rates over
recent years. The acute respiratory infection caused by bacteria, viruses, or fungi infects the …
recent years. The acute respiratory infection caused by bacteria, viruses, or fungi infects the …
[HTML][HTML] Stacked ensemble learning based on deep convolutional neural networks for pediatric pneumonia diagnosis using chest X-ray images
Pneumonia is an acute respiratory infection caused by bacteria, viruses, or fungi and has
become very common in children ranging from 1 to 5 years of age. Common symptoms of …
become very common in children ranging from 1 to 5 years of age. Common symptoms of …
A cost‐sensitive deep learning‐based meta‐classifier for pediatric pneumonia classification using chest X‐rays
Literature survey shows that convolutional neural network (CNN)‐based pretrained models
have been successfully employed to diagnose and detect childhood pneumonia using chest …
have been successfully employed to diagnose and detect childhood pneumonia using chest …
Strengthening the training of convolutional neural networks by using Walsh matrix
DNN structures are continuously developing and achieving high performances in
classification problems. Also, it is observed that success rates obtained with DNNs are …
classification problems. Also, it is observed that success rates obtained with DNNs are …
Determination of Pneumonia in X-ray Chest Images by Using ConvolutionalNeural Network
Pneumonia is one of the major diseases that cause a lot of deaths all over the world.
Determining pneumonia from chest X-ray (CXR) images is an extremely difficult and …
Determining pneumonia from chest X-ray (CXR) images is an extremely difficult and …
Transfer Learning Based Pediatric Pneumonia Diagnosis Using Residual Attention Learning
AP Jayakanthan, SS Rupan, V Sowmya… - … on Innovations in Bio …, 2022 - Springer
Pediatric Pneumonia is an acute respiratory infection caused by bacteria, viruses, or fungi
and reports nearly 800,000 deaths worldwide. The prime reason for this high toll is the …
and reports nearly 800,000 deaths worldwide. The prime reason for this high toll is the …
Detection of Pediatric Pneumonia from X-Ray Images using ResNet50 and GAL Networks
Ö Polat - 2021 International Conference on INnovations in …, 2021 - ieeexplore.ieee.org
Known as inflammation of one or two lung tissues, pneumonia affects approximately 150
million people worldwide each year; it is also the leading cause of death in children aged 0 …
million people worldwide each year; it is also the leading cause of death in children aged 0 …
Transfer learning method in the problem of binary classification of chest X-rays
K Dmitry - arXiv preprint arXiv:2303.10601, 2023 - arxiv.org
The possibility of high-precision and rapid detection of pathologies on chest X-rays makes it
possible to detect the development of pneumonia at an early stage and begin immediate …
possible to detect the development of pneumonia at an early stage and begin immediate …