A Deep-Learning Approach to Find Respiratory Syndromes in Infants using Thermal Imaging

Project Code :TMMAAI137

Objective

A deep learning neural network is created using Matlab which classifies the respiratory rates into four classes namely Tachypnea, Bradypnea, Healthy.

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Related Topics
  • Artificial Neural Network
  • Deep Learning
  • Image Enhancement
  • Image Detection
  • Image Compression
  • Fusion and Saliency
  • Image Retrieval
  • Image Denoising
  • Security Applications
  • Image Segmentation
  • Modulation Techniques
  • 5G networks
  • MIMO Transmissions
  • Device-to-Device Communications
  • Routing Concepts
  • Protocols
  • Security Applications
  • Denoising
  • Smoothing
  • Patch Antenna
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