3D volume-to-volume generative adversarial network for medical image segmentation
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Updated
Nov 2, 2020 - Python
3D volume-to-volume generative adversarial network for medical image segmentation
Deep neural network to reconstruct Confocal 3D stacks from Light Field Microscopy images.
3D DenseNet(torch version) for ModelNet40 dataset
LUNA(LUng Nodule Analysis) 2016 Segmentation Pipeline
FIJI plugin for tracing of curvilinear structures in volumetric microscopy datasets
Deep-learning (U-NET) CNN model for fully automatic glioma segmentation in 3D volume of MRI data, Survival prediction using different algorithms
A set of tools for BVP (Blocky Volume Package)
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