Table 2 ViT in medical applications.
Authors | Type of ViT | Year | Contribution |
|---|---|---|---|
G. S. S. Costa et al.12 | linear attention transformers | 2021 | Covid19 automated detection by vision transformer in CT images. |
X. Ga et al.9 | Vision Transformer (ViT) | 2021 | Use sub-volumes for 3D images. With the use of a vision transformer, Covid-19 may be automatically detected in CT images. |
L. Zhang et al.10 | Swin Transformer | 2021 | Framework for COVID-19 classification in chest CT based on the Swin transformer. |
S. Liang et al.45 | Hybrid Model | 2021 | Hybrid DL framework for Covid-19 detection in 3D chest CT scans. |
Y. Barhoumi et al.46 | n-CNN-ViT Hybrid | 2021 | Hybrid Intracranial Hemorrhage Classification Model. |
J. Li et al.47 | Vision Transformer (ViT) | 2021 | An artificial intelligence platform for coronavirus diagnostics using ViT. |
J. C. Than et al.48 | Vision Transformers (ViT) | 2021 | The study focuses on the initial research on patch sizes in ViT for COVID-19 and the classification of diseased lungs. |
Y. Xia et al.49 | Anatomy-aware transformer with localization Unet | 2021 | Utilizing non-contrast CT scans for efficient pancreatic cancer screening. |
S. Park et al.50 | A novel Vision Transformers (ViT) | 2021 | An unique ViT for COVID-19 CXR detection that utilizes low-level CXR characteristic. |
L. Tanzi et al.51 | Vision Transformer (ViT) | 2021 | Classification of femur fractures. |
G. van Tulder et al.13 | Cross-view transformers | 2021 | Cross-view transformers are used for multi view analysis of unregistered medical images. |
E. Verenich et al.52 | Auxiliary Attention techniques for CNN | 2021 | Classification of Pulmonary Disease. |
C. Liu et al.53 | Vision Transformer | 2021 | Automatic COVID-19 Diagnosis using a Custom Transformer-Like Network. |
D. Shome et al.54 | COVID-Transformer | 2021 | Grad-CAM Visualization for Interpretable COVID-19 Detection in Healthcare via ViT. |
K.S.Krishnan et al.55 | Fine-tuned ViT-B/32 | 2021 | COVID-19 detection with ViT based on chest X-rays. |
S. He et al.11 | Vision Transformer | 2021 | To estimate brain age, use the global-local transformer. |
B.H. Kim, et al.56 | Vision Transformer | 2021 | Brain graph representation by spatio-temporal attention. |
H. Shin57 | Vision Transformer | 2023 | Classifying Alzheimer’s disease using vision transformers. |
K. Ren et al.58 | Vision Transformer named RMT-Net. | 2023 | Covid-19 automated detection using vision transformer. |
S. Sarraf et al.59 | Optimized Vision Transformer | 2023 | Alzheimer’s Disease in MRI by optimized Vision transformer(OViTAD). |
C. K. Kumar Reddy et al.60 | Vision Transformer | 2024 | Multiclass classification of brain tumor in MRI by fine tuned Vision transformers. |
