• Corpus ID: 199675333

Chest X-ray anomaly detection based on normal models of anatomical structures segmented by U-Net

@inproceedings{Kondo2019ChestXA,
  title={Chest X-ray anomaly detection based on normal models of anatomical structures segmented by U-Net},
  author={Kenji Kondo},
  year={2019}
}
  • K. Kondo
  • Published 8 April 2019
  • Physics, Medicine
We report a chest X-ray anomaly detection method based on normal models of anatomical structures, and the corresponding evaluation results. The method consists of segmentation process for anatomical structures and anomaly detection process for the segmented regions. We use U-Net for segmentation and Hotelling’s theory for anomaly detection. Targets for segmentation and anomaly detection are nine structures including anatomical structures and boundary lines between anatomical structures. For… 

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