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A pneumothorax is an abnormal collection of air in the specific pleural space between the lung and the chest wall caused during chest injuries. Such regions are diagnosed by studying X-Ray images containing the affected area. However, the task of segmenting out the affected region becomes cumbersome due to the complex details and multi-dimension…
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Mask Rcnn
Unet
README.md
requirement.sh

README.md

SIIM-ACR-Pneumothorax-Segmentation

Abstract--A pneumothorax is an abnormal collection of air in the specific pleural space between the lung and the chest wall caused during chest injuries. Such regions are diagnosed by studying X-Ray images containing the affected area. However, the task of segmenting out the affected region becomes cumbersome due to the complex details and multi-dimensional features.

DATASET

Here is the link of dataset.

Note:Dataset is downloaded using an api.External official link for direct download may be provided by kaggle in future. 

Prerequisite

Python version used: python 3.6

Commands:

  • pip install tensorflow-gpu==1.8
  • pip install pandas
  • pip install opencv-python
  • pip install keras
  • pip install tqdm
  • pip install pillow

requirement.sh is included in files for linux installation.

Models

  • Mask Rcnn
  • Unet
    • Xnet

Achievements

Model Learning Rate Accuracy*
Unet 0.000001 0.7886
Maskrcnn 0.0012 0.7929

*accuracy is as per submission using dice-coefficient.. more info here

Conclusion

  • Unet implimentation
  • Mask Rcnn imlplimenation
  • To use other models and architecture

Common error

if you are facing trouble in installing python opencv then this may be helpful

apt update && apt install -y libsm6 libxext6 libxrender-dev git unzip 
apt-get install libxrender1
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