Explainable hybrid transformer for multi-classification of lung disease using chest X-rays
Abstract Lung disease is an infection that causes chronic inflammation of the human lung cells, which is one of the major causes of death around the world. Thoracic X-ray medical image is a well-known cheap screening approach used for lung disease detection. Deep learning networks, which are used to...
Saved in:
| Main Authors: | Xiaoyang Fu, Rongbin Lin, Wei Du, Adriano Tavares, Yanchun Liang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-02-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-90607-x |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Application of Transformer Models for Classification of Chest X-rays
by: Enoel Arrokho Ernandes
Published: (2023-10-01) -
RADAI: A Deep Learning-Based Classification of Lung Abnormalities in Chest X-Rays
by: Hanan Aljuaid, et al.
Published: (2025-07-01) -
HyCoViT: Hybrid Convolution Vision Transformer With Dynamic Dropout for Enhanced Medical Chest X-Ray Classification
by: Omid Almasi Naghash, et al.
Published: (2025-01-01) -
Enhancing Multi-Label Chest X-Ray Classification Using an Improved Ranking Loss
by: Muhammad Shehzad Hanif, et al.
Published: (2025-05-01) -
Progressive multi-scale attention neural network for pneumonia classification in chest X-rays
by: Mohammad Reza Mahdiani
Published: (2025-01-01)