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"Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray" by Debojyoti Pal, Pailla Balakrishna Reddy, and Sudipta Roy.

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Attention UW-Net

A Novel Attention U-Net architecture for the automatic segmentation and annotation of 2D Chest X-Ray Images. To link to the actual paper can be found at link

Content:

  • Python 3.7.10
  • Sklearn
  • Tensorflow
  • Matplotlib

test_image.rar consists of 50 Chest X-Ray (CXR) images. test_data.rar consists of the corresponding masks (lungs, heart, trachea and collarbone)

Attention UW-Net architecture

Attention gate architecture

Output visualisation

Comparative Analysis part-1

Comparative Analysis part-2

The .ipnyb file (Attention UW_Net.ipnyb) is the python code for the Attention UW-Net.

Pal, D., Reddy, P. B., & Roy, S. (2022). Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray. Computers in Biology and Medicine, 150, 106083.

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"Attention UW-Net: A fully connected model for automatic segmentation and annotation of chest X-ray" by Debojyoti Pal, Pailla Balakrishna Reddy, and Sudipta Roy.

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