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3d-neurons-segmentation
Podtyazhki1337/3d-neurons-segmentation
3d-neurons-segmentation is a machine learning model from Podtyazhki1337. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for keras. The card lists the license as mit.
The code is available here: https://github.com/podtyazhki1337/3d-neurons-segmentation-benchmark The dataset is available on Zenodo: https://zenodo.org/records/20797635 This repository contains trained model weights us…
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At a glance
- Library
- keras
- License
- mit
- Access
- Public
- Created
- Apr 27, 2026
- Updated
- Jun 26, 2026
- SHA
- a0059ee5
Model card
From the Hugging Face model README
A large-scale multi-species resource reveals cross-species generalization in label-free 3D neuron segmentation
The code is available here: https://github.com/podtyazhki1337/3d-neurons-segmentation-benchmark The dataset is available on Zenodo: https://zenodo.org/records/20797635 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.
This dataset, code and weights accompanies the manuscript: "A large-scale multi-species resource reveals cross-species generalization in label-free 3D neuron segmentation."
If you use this weights in your work, please cite the associated publication once available.
- Library
- keras
- License
- mit
- Created
- Apr 27, 2026
- Updated
- Jun 26, 2026