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Lightweight Deep Video Networks for Mobile Devices

Mobile AI

Lightweight Deep Video Networks for Mobile Devices

mobile-aiefficient-computingmedical-imagingpoint-of-care

Development of efficient deep learning models for cardiac function assessment on mobile devices, enabling point-of-care diagnostics in resource-limited settings.

Key Contributions

  • Mobile-optimized network architecture
  • Real-time inference on smartphones
  • Maintained accuracy with reduced parameters
  • Clinical deployment feasibility

Publication

SPIE Medical Imaging 2022