BrainSegNet is a PyTorch-based deep learning model for brain MRI segmentation using U-Net. It focuses on medical image analysis, enabling precise brain region segmentation for tasks like tumor detection. Includes data preprocessing, model training, and evaluation scripts.

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Streamlit frontend for BrainSegNet

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Backend for Brain Tumor Segmention

Convolutional Neural Network for 3D Brain Segmentation

This projects helps in Brain segmentation for brain tumor segmentation