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.ipynb_checkpoints

.ipynb_checkpoints

 
 

__pycache__

__pycache__

 
 

0_preprocessing.py

0_preprocessing.py

 
 

0_preprocessing_fair_crop.py

0_preprocessing_fair_crop.py

 
 

1_training.py

1_training.py

 
 

1b_training.py

1b_training.py

 
 

1c_unet_training.py

1c_unet_training.py

 
 

2_evaluation.py

2_evaluation.py

 
 

2c_evaluation.py

2c_evaluation.py

 
 

3_generate_data.py

3_generate_data.py

 
 

README.md

README.md

 
 

Zeiss Mytotic Cell Counter.ipynb

Zeiss Mytotic Cell Counter.ipynb

 
 

logs.txt

logs.txt

 
 

models.py

models.py

 
 

plot_lib.py

plot_lib.py

 
 

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Ideas for Improvement:

  1. train a classifier to distinguish TPs + FNs and FPs based on Segmentation results on Train/Val Data. This should improve Precision and hopefully reduce false positives. - include probability map.

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