RanMerFormer: Randomized vision transformer with token merging for brain tumor classification
University of Leicester · Nanjing University of Posts and Telecommunications · +2 more institutions
Abstract
Brains are the control center of the nervous system in human bodies, and brain tumor is one of the most deadly diseases. Currently, magnetic resonance imaging (MRI) is the most effective way to brain tumors early detection in clinical diagnoses due to its superior imaging quality for soft tissues. Manual analysis of brain MRI is error-prone which depends on empirical experience and the fatigue state of the radiologists to a large extent. Computer-aided diagnosis (CAD) systems are becoming more and more impactful because they can provide accurate prediction results based on medical images with advanced techniques from computer vision. Therefore, a novel CAD method for brain tumor classification named…
Citation impact
- FWCI
- 24.15
- Percentile
- 100%
- References
- 69
Authors
4Topics & keywords
- Computer science
- Transformer
- Security token
- Artificial intelligence
- CAD
- Brain tumor
- Medical diagnosis
- Benchmark (surveying)