• Corpus ID: 232352864

3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI

@article{Chang20213DRF,
  title={3D Reasoning for Unsupervised Anomaly Detection in Pediatric WbMRI},
  author={Alex Chang and Vinith M. Suriyakumar and Abhishek Moturu and James Tu and Nipaporn Tewattanarat and Sayali Joshi and Andrea Doria and Anna Goldenberg},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.13497}
}
Modern deep unsupervised learning methods have shown great promise for detecting diseases across a variety of medical imaging modalities. While previous generative modeling approaches successfully perform anomaly detection by learning the distribution of healthy 2D image slices, they process such slices independently and ignore the fact that they are correlated, all being sampled from a 3D volume. We show that incorporating the 3D context and processing whole-body MRI volumes is beneficial to… 

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