Nucleus_detection

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Nucleus_detection

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Automate nucleus detection

// repository documentation

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# Nucleus_detection
Automate nucleus detection

Datasets obtained from https://www.kaggle.com/c/data-science-bowl-2018/overview

# Project Aim:
### Build an algorithm to automate the process of identifying nuclei
<img src='https://github.com/xiey1/Nucleus_detection/blob/master/images/Image_visualization_eda.png' width=900px>

# Approach -- UNet
<img src='https://github.com/xiey1/Nucleus_detection/blob/master/images/u-net-architecture.png' width=900px>

reference:
 https://arxiv.org/pdf/1505.04597.pdf
 https://github.com/milesial/Pytorch-UNet/tree/master/unet

# Result

Remove nuclei with small size (possibly debris) and visualize nuclei using multi-channel imaging
<img src='https://github.com/xiey1/Nucleus_detection/blob/master/images/Image_visualization_multichannel.png' width=600px>

Visualize individual detected nucleus
<img src='https://github.com/xiey1/Nucleus_detection/blob/master/images/Image_visualization_individual.png' width=900px>

Nucleus_detection

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