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Enhancing_Image_Quality_in_Microscopy_Addressing_Oil_Temperature_Mismatch_with_3D_U-Net
mous17/Enhancing_Image_Quality_in_Microscopy_Addressing_Oil_Temperature_Mismatch_with_3D_U-Net
Enhancing_Image_Quality_in_Microscopy_Addressing_Oil_Temperature_Mismatch_with_3D_U-Net is a image-to-image model from mous17. Use it when you need one image transformed into another. The card lists the license as gpl-3.0.
Access
Public
Updated Sep 5, 2023
Repo size
2.7 GB
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1
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Repo makeup
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At a glance
- Task
- Image-to-Image
- License
- gpl-3.0
- Access
- Public
- Created
- Sep 5, 2023
- Updated
- Sep 5, 2023
- SHA
- df54c128
Model card
From the Hugging Face model README
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
- Task
- Image-to-Image
- License
- gpl-3.0
- Languages
- en
- Created
- Sep 5, 2023
- Updated
- Sep 5, 2023