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SIIM-ACR Pneumothorax Segmentation Kaggle Challenge. [Machine Learning in Medical Imaging]

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SIIM-ACR Pneumothorax Segementation

Setup

  1. Dataset can be downloaded from Kaggle (see references).

  2. The source code is in 'jupyter notebook' directory.

  3. The 'SIIM-ACR Dataset Reading' jupyter notebook can be used to first read the dataset files and make the data split into train, validation and test sets.

  4. We used Google Colab for model training. Upload the dataset files to google drive and set the corresponding paths in the notebook.

Overview

We implmented multiple models inlcuding U-Net, Attention U-Net, Tiramisu: FCDenseNet-103 and Tiramisu: FCDenseNet-103 with Attention Gates.

References:

Code is inspired from:

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SIIM-ACR Pneumothorax Segmentation Kaggle Challenge. [Machine Learning in Medical Imaging]

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