Pulmonary image classification based on inception-v3 transfer learning model
C Wang, D Chen, L Hao, X Liu, Y Zeng, J Chen… - IEEE …, 2019 - ieeexplore.ieee.org
Chest X-ray film is the most widely used and common method of clinical examination for
pulmonary nodules. However, the number of radiologists obviously cannot keep up with this …
pulmonary nodules. However, the number of radiologists obviously cannot keep up with this …
Convolutional neural networks for the classification of chest X-rays in the IoT era
Chest X-ray medical imaging technology allows the diagnosis of many lung diseases. It is
known that this technology is frequently used in hospitals, and it is the most accurate way of …
known that this technology is frequently used in hospitals, and it is the most accurate way of …
Deep learning in multi-class lung diseases' classification on chest X-ray images
Chest X-ray radiographic (CXR) imagery enables earlier and easier lung disease diagnosis.
Therefore, in this paper, we propose a deep learning method using a transfer learning …
Therefore, in this paper, we propose a deep learning method using a transfer learning …
LungNet22: a fine-tuned model for multiclass classification and prediction of lung disease using X-ray images
In recent years, lung disease has increased manyfold, causing millions of casualties
annually. To combat the crisis, an efficient, reliable, and affordable lung disease diagnosis …
annually. To combat the crisis, an efficient, reliable, and affordable lung disease diagnosis …
Deep learning for the detection of COVID-19 using transfer learning and model integration
We researched the diagnostic capabilities of deep learning on chest radiographs and an
image classifier based on the COVID-Net was presented to classify chest X-Ray images. In …
image classifier based on the COVID-Net was presented to classify chest X-Ray images. In …
Automatic lung disease classification from the chest X-ray images using hybrid deep learning algorithm
AMQ Farhan, S Yang - Multimedia Tools and applications, 2023 - Springer
The chest X-ray images provide vital information about the congestion cost-effectively. We
propose a novel Hybrid Deep Learning Algorithm (HDLA) framework for automatic lung …
propose a novel Hybrid Deep Learning Algorithm (HDLA) framework for automatic lung …
[HTML][HTML] High-precision multiclass classification of lung disease through customized MobileNetV2 from chest X-ray images
In this study, multiple lung diseases are diagnosed with the help of the Neural Network
algorithm. Specifically, Emphysema, Infiltration, Mass, Pleural Thickening, Pneumonia …
algorithm. Specifically, Emphysema, Infiltration, Mass, Pleural Thickening, Pneumonia …
Using CFW-net deep learning models for X-ray images to detect COVID-19 patients
W Wang, H Liu, J Li, H Nie, X Wang - International Journal of …, 2021 - atlantis-press.com
COVID-19 is an infectious disease caused by severe acute respiratory syndrome (SARS)-
CoV-2 virus. So far, more than 20 million people have been infected. With the rapid spread …
CoV-2 virus. So far, more than 20 million people have been infected. With the rapid spread …
Pneumoconiosis computer aided diagnosis system based on X-rays and deep learning
F Yang, ZR Tang, J Chen, M Tang, S Wang, W Qi… - BMC medical …, 2021 - Springer
Purpose The objective of this study is to construct a computer aided diagnosis system for
normal people and pneumoconiosis using X-raysand deep learning algorithms. Materials …
normal people and pneumoconiosis using X-raysand deep learning algorithms. Materials …
A transfer learning method for pneumonia classification and visualization
JE Luján-García, C Yáñez-Márquez… - Applied Sciences, 2020 - mdpi.com
Featured Application We aim to present an automatic tool to classify between chest diseases
such as pneumonia and healthy patients to assist a medical diagnosis even when there are …
such as pneumonia and healthy patients to assist a medical diagnosis even when there are …