Artificial Intelligence Assisted MRI Screening for Pediatric Cancers - - PowerPoint PPT Presentation

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Artificial Intelligence Assisted MRI Screening for Pediatric Cancers - - PowerPoint PPT Presentation

Artificial Intelligence Assisted MRI Screening for Pediatric Cancers Alex Chang, V. M. Suriyakumar, A. Moturu, N. Tewattanarat, A. Doria, A. Goldenberg Anomaly detection with GANs Diagnosed with Li-Fraumeni Presence of Syndrome (LFS)


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Artificial Intelligence Assisted MRI Screening for Pediatric Cancers

Alex Chang, V. M. Suriyakumar, A. Moturu,

  • N. Tewattanarat, A. Doria, A. Goldenberg
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Diagnosed with Li-Fraumeni Syndrome (LFS) after genetic testing Begin cancer surveillance protocol including annual whole-body MRI Presence of cancerous lesion? Earlier diagnosis and less aggressive treatment Baby is born Patient is in remission!

Anomaly detection with GANs

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Generated Healthy Images

DCGAN StyleGAN PGStyleGAN StyleGAN2 Radford et al. (2015) Karras et al. (2018) Karras et al. (2018) Karras et al. (2019)

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Metrics for Evaluating the Quality of GAN Images

Model FID (Lower is better) DFD (Lower is better) Expert FPR (Higher is better) DCGAN 457.30 23.72 0% StyleGAN 481.3 19.378 0% PGStyleGAN 442.61 18.56 20% StyleGAN2 497.09 17.234 30%

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Anomaly Detection with Imputed Nodules

Query with imputed nodule Closest image in GAN distribution Difference in query