• Corpus ID: 226976025

Lung Segmentation in Chest X-rays with Res-CR-Net

@article{Abdulah2020LungSI,
  title={Lung Segmentation in Chest X-rays with Res-CR-Net},
  author={Haikal Abdulah and Benjamin Huber and Sinan Lal and Hassan Abdallah and Hamid Soltanian-Zadeh and Domenico L. Gatti},
  journal={ArXiv},
  year={2020},
  volume={abs/2011.08655}
}
Deep Neural Networks (DNN) are widely used to carry out segmentation tasks in biomedical images. Most DNNs developed for this purpose are based on some variation of the encoder-decoder U-Net architecture. Here we show that Res-CR-Net, a new type of fully convolutional neural network, which was originally developed for the semantic segmentation of microscopy images, and which does not adopt a U-Net architecture, is very effective at segmenting the lung fields in chest X-rays from either healthy… 

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