This project develops an advanced medical image segmentation system using U-Net, Generative Adversarial Networks (GANs) for data augmentation, and a Large Language Model (LLM) like GPT-2 for generating descriptive reports. Leveraging NVIDIA GPUs, it enhances accuracy and provides detailed insights through accelerated computing and integrated AI.
deep-learning cuda pytorch gans generative-adversarial-networks nvidia-gpus medical-image-segmentation gpt-2 skin-cancer-detection llms generative-ai large-language-mode
-
Updated
Dec 4, 2024 - Python