3D Neuron Segmentation Weights for Oblique and Dodt Gradient-Contrast Microscopy

The code is available here: https://github.com/podtyazhki1337/3d-neurons-segmentation-benchmark This repository contains trained model weights used in the study:

The models were trained for 3D neuron segmentation in label-free microscopy across:

  • species: rat, mouse, human
  • modalities: oblique illumination and Dodt gradient contrast (DGC / DODT)

Repository contents

The repository includes trained weights for five model families:

  • nnU-Net v2
  • 3D U-Net
  • StarDist3D
  • Cellpose
  • micro-SAM

Weights are organized into separate folders by model family and training configuration.

Downloads last month
363
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support