Brain Tumor Classification with Vision Transformers

I need a lightweight and efficient Vision-Transformer-style model for brain tumor detection and classification using CT scans. The model should achieve high performance on accuracy, sensitivity, specificity, and F1 score.

Requirements:
- Develop a Vision-Transformer-based model
- Use CT scans for training data
- Output should include both tumor detection and classification
- Optimize for accuracy, sensitivity, specificity, and F1 score

Ideal Skills and Experience:
- Expertise in deep learning and computer vision
- Experience with Vision Transformers and histopathological image analysis
- Proficiency in Python and relevant libraries (TensorFlow, PyTorch)
- Strong background in medical imaging and classification tasks

Please provide a portfolio showcasing similar projects.