A novel transfer learning based approach for pneumonia detection in chest X-ray images
Pneumonia is among the top diseases which cause most of the deaths all over the world.
Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the …
Virus, bacteria and fungi can all cause pneumonia. However, it is difficult to judge the …
Efficient pneumonia detection in chest xray images using deep transfer learning
Pneumonia causes the death of around 700,000 children every year and affects 7% of the
global population. Chest X-rays are primarily used for the diagnosis of this disease …
global population. Chest X-rays are primarily used for the diagnosis of this disease …
A comprehensive review of computer-aided diagnosis of pulmonary nodules based on computed tomography scans
Lung cancer is one of the malignant tumor diseases with the fastest increase in morbidity
and mortality, which poses a great threat to human health. Low-Dose Computed …
and mortality, which poses a great threat to human health. Low-Dose Computed …
A novel multi-scale CNNs for false positive reduction in pulmonary nodule detection
D Zhao, Y Liu, H Yin, Z Wang - Expert Systems with Applications, 2022 - Elsevier
Accurate false positive reduction is a significant stage in pulmonary nodule detection. The
existing false positive reduction based methods mainly 3D CNNs due to its high sensitivity of …
existing false positive reduction based methods mainly 3D CNNs due to its high sensitivity of …
Multi-view convolutional recurrent neural networks for lung cancer nodule identification
Screening via low-dose Computer Tomography (CT) has been shown to reduce lung cancer
mortality rates by at least 20%. However, the assessment of large numbers of CT scans by …
mortality rates by at least 20%. However, the assessment of large numbers of CT scans by …
A hybrid deep convolutional neural network model for improved diagnosis of pneumonia
Pneumonia is an infection that inflames the air sacs in lungs and is one of the prime causes
of deaths under the age of five, all over the world. Moreover, sometimes it became quite …
of deaths under the age of five, all over the world. Moreover, sometimes it became quite …
Multidimensional deep learning reduces false-positives in the automated detection of cerebral aneurysms on time-of-flight magnetic resonance angiography: a multi …
Y Terasaki, H Yokota, K Tashiro, T Maejima… - Frontiers in …, 2022 - frontiersin.org
Current deep learning-based cerebral aneurysm detection demonstrates high sensitivity, but
produces numerous false-positives (FPs), which hampers clinical application of automated …
produces numerous false-positives (FPs), which hampers clinical application of automated …
An efficient multi-path 3D convolutional neural network for false-positive reduction of pulmonary nodule detection
H Yuan, Z Fan, Y Wu, J Cheng - International journal of computer assisted …, 2021 - Springer
Purpose Considering that false-positive and true pulmonary nodules are highly similar in
shapes and sizes between lung computed tomography scans, we develop and evaluate a …
shapes and sizes between lung computed tomography scans, we develop and evaluate a …
A Lightweight Deep Learning‐Based Pneumonia Detection Approach for Energy‐Efficient Medical Systems
B Almaslukh - Wireless Communications and Mobile …, 2021 - Wiley Online Library
Early detection of pneumonia disease can increase the survival rate of lung patients. Chest
X‐ray (CXR) images are the primarily means of detecting and diagnosing pneumonia …
X‐ray (CXR) images are the primarily means of detecting and diagnosing pneumonia …
3d arcnn: an asymmetric residual cnn for false positive reduction in pulmonary nodule
Lung cancer is with the highest morbidity and mortality, and detecting cancerous lesions
early is essential for reducing mortality rates. Deep learning-based lung nodule detection …
early is essential for reducing mortality rates. Deep learning-based lung nodule detection …