Explainable AI for Skin Lesion Classification Using Vision Transformer
Budget / Salary$30–250
TypeFreelance project
LocationRemote
Posted1 hour ago
Looking for an AI/Deep Learning developer to develop a research project for skin lesion classification using dermoscopy images.
The project combines Diffusion Models for hair removal, Vision Transformer (ViT) for classification, and Explainable AI using Grad-CAM/Attention Maps. The dataset will be based on the ISIC Archive. MDPI__Skin_Lesion_Classification.pdf
Required: Python, PyTorch/TensorFlow, Deep Learning, Computer Vision, ViT, Diffusion Models, and Explainable AI.
The project combines Diffusion Models for hair removal, Vision Transformer (ViT) for classification, and Explainable AI using Grad-CAM/Attention Maps. The dataset will be based on the ISIC Archive. MDPI__Skin_Lesion_Classification.pdf
Required: Python, PyTorch/TensorFlow, Deep Learning, Computer Vision, ViT, Diffusion Models, and Explainable AI.
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