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Added Segmentation Model: Tubule Segmentation #4

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15 changes: 15 additions & 0 deletions Segmentation Sample Models/tubule-segmentation/README.md
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# Tubule Segmentation
## Dataset
The dataset used is available [here](http://andrewjanowczyk.com/wp-static/tubule.tgz) .

The dataset consist of 85 images ColoRectal images scanned at 40x., where each image is 775 x 522 and contains a total of 795 regions. The tubules were manually annotated across all images by an expert pathologist.

This sample model is trained on br_masks for demonstration purpose to try to understand how to test models in caMicroscope.
## Preprocessing
Patch Extraction is performed.
Pixel values are normalized between 0-1.
## Model
U-net: 256 -> 128 -> 64 -> 32 -> 16 -> 32 -> 64 -> 128 -> 256.

Input image size: 256 x 256 x 3

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