Deep neural network to reconstruct Confocal 3D stacks from Light Field Microscopy images.
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Updated
Jul 25, 2024 - Python
Deep neural network to reconstruct Confocal 3D stacks from Light Field Microscopy images.
3D volume-to-volume generative adversarial network for medical image segmentation
LUNA(LUng Nodule Analysis) 2016 Segmentation Pipeline
3D DenseNet(torch version) for ModelNet40 dataset
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
browsing large volumetric data
Fluospotter is an end-to-end pipeline designed for nuclei segmentation and puncta detection in fluorescence microscopy images.
A tool for computing the volume of intersection between two complex 3D regions using the Monte Carlo method. Also includes an AI-powered system to automatically select the optimal coordinate system (Cartesian, Cylindrical, or Spherical) for solving triple integrals. I got this project as part of my Multivariable Calculus Course.
A set of tools for BVP (Blocky Volume Package)
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