Giters
mehta-lab
/
microDL
3D virtual staining with 2D and 2.5D U-Nets
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6
Issues:
79
Forks:
7
mehta-lab/microDL Issues
Brain_2.5DUNet
Updated
a year ago
Comments count
4
Upgrade to Tensorflow2 keras or Pytorch
Closed
a year ago
Comments count
4
z-alignment of different modalities
Closed
a year ago
Comments count
1
Testing of pytorch_implementation branch
Closed
a year ago
Comments count
20
use click for CLI in microDL 2.0.0
Closed
a year ago
Comments count
2
Config issues on gunpowder dataloading branch
Closed
a year ago
Comments count
12
Metadata Structure
Closed
a year ago
Comments count
2
unify preprocessing CLI with lightning CLI
Closed
a year ago
Comments count
1
Split of microDL pipeline usage on HPC and power9 machines
Closed
a year ago
Comments count
1
Paper Figure 5.
Updated
a year ago
Comments count
3
Normalization statistics don't need to be stored with additional key
Closed
a year ago
Comments count
1
make microDL pip installable
Closed
a year ago
Comments count
1
register data during preprocessing
Closed
a year ago
Comments count
6
Make model architecture compatible with deployment
Closed
a year ago
Comments count
9
data problem
Closed
a year ago
Comments count
3
Runtime error testing lightning pipeline
Closed
a year ago
Comments count
5
Unexpected behavior in model batch prediction?
Closed
a year ago
Comments count
8
Training error without augmentation
Closed
a year ago
Comments count
1
configs should use channel names and not channel index
Closed
a year ago
Comments count
2
Inference shouldn't use gunpowder
Closed
a year ago
Comments count
5
Does inference need its own config file?
Closed
a year ago
Comments count
1
Training on gpu-c-1 scratch space
Closed
a year ago
Comments count
7
Inference image shape and pixel values
Updated
a year ago
Comments count
4
intensity.csv
Closed
a year ago
Comments count
1
Convert existing tensorflow models to pytorch
Closed
a year ago
Comments count
3
Improve masking of fluorescence data in preprocessing
Closed
a year ago
Comments count
2
Add feedback in preprocess.py
Closed
a year ago
Inference for gunpowder dataloading
Closed
a year ago
Comments count
5
z-score
Closed
a year ago
Comments count
1
Housecleaning for unused code in gunpowder implementation
Closed
a year ago
Comments count
1
Flatfielding computation error on gunpowder dataloading branch
Closed
a year ago
Comments count
2
config_3D.yml
Updated
a year ago
Comments count
10
Add support for Zarr as input format
Closed
a year ago
Comments count
3
Normalization in preprocessing module: transferring to gunpowder
Closed
a year ago
Comments count
2
Masking in gunpowder pipeline
Closed
a year ago
Comments count
4
Flat-field correction in gunpowder pipeline
Closed
a year ago
Comments count
2
Update documentation
Closed
2 years ago
revise documentation for microDL (dependencies: tensorflow 1.13, keras 2.1.6)
Closed
2 years ago
Comments count
1
Augmentations
Closed
2 years ago
Comments count
3
Issues with testing Zarr reader branch
Closed
2 years ago
Comments count
2
Add test dataset
Closed
2 years ago
Comments count
1
document inference script and module
Closed
2 years ago
Comments count
1
Modifying inference to apply trained model on data with different channel order
Closed
2 years ago
Comments count
2
track metadata of computational experiments
Closed
2 years ago
Implement valid convolution in pytorch unet
Closed
2 years ago
Comments count
1
Add docstrings to config yaml files
Closed
2 years ago
Comments count
1
[Regression] Predicted images need to be "un-z-scored" for correct SSIM calculation
Closed
2 years ago
configuration files need more documentation
Closed
2 years ago
Comments count
1
inference 2.5D model bug
Closed
2 years ago
Comments count
2
Integration tests are currently not running on travis - port to github
Closed
3 years ago
Comments count
1
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