A combination of dilated self-attention capsule networks and bidirectional long-and short-term memory networks for vibration signal denoising

Y Wang, G Cao, J Han - Machines, 2022 - mdpi.com
As scalar neurons of traditional neural networks promote dimension reduction caused by
pooling, it is a difficult task to extract the high-dimensional spatial features and long-term …

Comparison Analysis of CXR Images in Detecting Pneumonia Using VGG16 and ResNet50 Convolution Neural Network Model

N Izdihar, SB Rahayu, K Venkatesan - JOIV: International Journal on …, 2024 - joiv.org
Pneumonia is a lung disease that causes serious fatalities worldwide. Pneumonia can be
complicated for medical professionals to identify since it shares similarities with other lung …

Interpretable thoracic pathologic prediction via learning group-disentangled representation

H Li, Y Wu, H Hu, H Lu, Q Huang, S Wan - Methods, 2023 - Elsevier
Deep learning has brought a significant progress in medical image analysis. However, their
lack of interpretability might bring high risk for wrong diagnosis with limited clinical …

Diagnostic Classification of Lung Disease with Chest X-Ray Images Using SNN

G Sivapriya, P Gowri, S Govarthanan… - … Conference on Edge …, 2023 - ieeexplore.ieee.org
Some of the lung diseases that affect respiratory and pulmonary functions includes
atelectasis, pulmonary infiltrate, pneumonia and pneumothorax. The proposed system is a …

Fine-Tuning the Deep Learning Models Using Transfer Learning for the Classification of Lung Diseases from Chest Radiographs

H Mary Shyni, E Chitra - … on Women Researchers in Electronics and …, 2023 - Springer
Lung diseases are one of the main sources of death across the globe which might prompt
lung cancer when left unattended for an extensive stretch of time. X-ray imaging is the …