image-to-image en doi:10.57967/hf/1072 license:gpl-3.0 region:us
---
license: gpl-3.0
language:
- en
pipeline_tag: image-to-image
---

# 3DL_U-Net model


__Model author__: Mustapha EL AMMARI


#### Model description

The model has been designed by transfer tuning then fine tuning 3D U-Net model as autoencoder, using a home made dataset [1] composed of 3D image stack acquired using a confocal microscope. Training and Inference Notebooks are hosted on our Github repo [2].

#### Stardist Training parameters

- patch size:  (64,64,64)
- batch size:  64
- epochs    :  200
- image normalization: normalize channel independantly


#### Training dataset parameters
- split     : Train 0.8 / Val 0.2

#### Inference
- patch size     : (64,64,64)
- model      : file.h5




#### References
- [1] Dataset Project: [Zenodo](https://doi.org/10.5281/zenodo.8318817)
- [4] 3D U-Net Github Project: [Github](https://github.com/ELAMMARI-mus/-Enhancing_Image_Quality_in_Microscopy_Addressing_Oil_Temperature_Mismatch_with_3D_U-Net)