Complete U-net Implementation with keras in python

U Net Lowered with Keras

Complete U-net Implementation with keras

The model is implemented using the original paper. But I have changed the number of filters of the layers. The implemented number of layers are reduced to 25% of the original paper.

Original Model Architecture :

Dataset :

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The dataset has been taken from kaggle . It had a specific directory tree, but it was tough to execute dataset building from it, so I prepared an usable dat directory.

Link : https://www.kaggle.com/azkihimmawan/chest-xray-masks-and-defect-detection

Primary Directory Tree :

.
└── root/
    ├── train_images/
    │   └── id/
    │       ├── images/
    │       │   └── id.png
    │       └── masks/
    │           └── id.png
    └── test_images/
        └── id/
            └── id.png

Given Images :

 

 

 

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