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vishal815 / Deep-Learning-Models-for-3D-MRI-based-Brain-Tumor-Segmentation-using-Seg-Net-V--Net-and-U-Net

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This project focuses on the segmentation of brain tumors in 3D MRI images using Convolutional Neural Network (CNN) models. The research compares the performance of SegNet, V-Net, and U-Net architectures for brain tumor segmentation and evaluates them based on complexity, training time, and segmentation accuracy.

deep-learning end-to-end cnn novel image-segmentation 3d-segmentation v-net u-net capstone-project tensorflow-keras 4d-database 3d-cnn-model vishallazrus vishal-lazrus seg-net
  • Updated May 20, 2024
  • Jupyter Notebook

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