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
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Updated
May 20, 2024 - Jupyter Notebook