| --- |
| license: apache-2.0 |
| language: |
| - en |
| tags: |
| - microscopy |
| - denoising |
| - fluorescence-microscopy |
| - image-restoration |
| - 2d |
| - 3d |
| --- |
| |
| # FMDNet Weights (`smthooper/fmdnet-weights`) |
|
|
| ## Model Summary |
|
|
| FMDNet is a pretrained denoising model for fluorescence microscopy data. |
| This repository provides checkpoint weights consumed by the `fmdnet` Python package. |
|
|
| Provided files: |
| - `fmdnet_3d.pt` |
| - `fmdnet_2d.pt` |
|
|
| ## Intended Use |
|
|
| - Denoising fluorescence microscopy images/volumes. |
| - Load with: |
| - `FMDNet.from_pretrained("fmdnet-3d")` |
| - `FMDNet.from_pretrained("fmdnet-2d")` |
|
|
| ## Out-of-Scope / Non-Intended Use |
|
|
| - Clinical diagnosis or treatment decisions. |
| - Safety-critical deployment without domain-specific validation. |
| - Data modalities outside fluorescence microscopy. |
|
|
| ## Limitations |
|
|
| - Performance depends on imaging conditions. |
| - Memory limits may apply for large volumes. |
|
|
| ## Training / Fine-Tuning Context |
|
|
| Base checkpoints are intended as general pretrained denoisers. |
| Fine-tuning is supported by the `fmdnet` package in: |
| - `supervised` |
| - `clean` |
| - `noisy` |
|
|
| ## Version Compatibility |
|
|
| | Model repo/tag | Expected package version | Notes | |
| |---|---|---| |
| | `main` (current) | `fmdnet==0.0.1` | Initial public release | |
|
|
| ## License |
|
|
| Model weights license: Apache-2.0 |
|
|
| Code repository license: Apache-2.0 |
|
|
| ## Citation |
|
|
| If you use this model, please cite: |
|
|
| ```text |
| [ADD FULL PAPER CITATION] |
| |
