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.