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. Budget: USD 250–750 Skills: Python, Matlab and Mathematica, Statistics, Machine Learning (ML), Neural Networks, Data Analysis, Computer Vision, Deep Learning