Bone suppression on chest radiographs with adversarial learning

@inproceedings{Liang2020BoneSO,
  title={Bone suppression on chest radiographs with adversarial learning},
  author={Jia Wen Liang and Yuxing Tang and Youbao Tang and Jing Xiao and Ronald M. Summers},
  booktitle={Medical Imaging},
  year={2020}
}
Dual-energy (DE) chest radiography provides the capability of selectively imaging two clinically relevant materials, namely soft tissues, and osseous structures, to better characterize a wide variety of thoracic pathology and potentially improve diagnosis in posteroanterior (PA) chest radiographs. However, DE imaging requires specialized hardware and a higher radiation dose than conventional radiography, and motion artifacts some- times happen due to involuntary patient motion. In this work, we… 

Applying a Conditional GAN for Bone Suppression in Chest Radiography Images

TLDR
This work proposed an alternative to solve the bone suppression task in chest radiography images using Generative Adversarial Networks (GANs), and used a conditional GAN type (cGAN) to provide a bone-suppressed version of the initial image.

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Bone suppression software achieves superior image quality for lung lesions than dual-energy subtraction technique in bone suppression images and can decrease the radiation dose over the hardware-based image processing technique.

Clinical Artificial Intelligence Applications in Radiology: Chest and Abdomen.

SPIE Computer-Aided Diagnosis conference anniversary review.

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The topics and trends observed in research presented at the Computer-Aided Diagnosis conference as part of the 50th-anniversary celebration of SPIE Medical Imaging are described.

Autoencoder-based bone removal algorithm from x-ray images of the lung

  • Seweryn KaliszM. Marczyk
  • Computer Science
    2021 IEEE 21st International Conference on Bioinformatics and Bioengineering (BIBE)
  • 2021
TLDR
A deep learning model using convolutional denoising autoencoder architecture was developed to remove ribs from chest X-ray images, and the resulting images are characterized by partial or complete suppression of the ribs.

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