Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss – MyProjectBazaar

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  FPGA
  
  NS2
  
  CMOS
  
  A Tracking System With High Accuracy Using Location Prediction And Dynamic Threshold
  0 out of 5
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  Add to cart
  
  Text Detection and Recognition in Imagery: A Survey
  0 out of 5
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  Add to cart
  
  SOLOR: Self-Optimizing WLANs with Legacy-Compatible Opportunistic Relays
  0 out of 5
  ₹4,500
  Add to cart
  
  Pupil Dynamics for Iris Liveness Detection
  0 out of 5
  ₹3,500
  Add to cart
  
  SIR: a secure and intelligent routing protocol for vehicular adhoc network
  0 out of 5
  ₹4,500
  Add to cart
  
  Service Class Resource Management for Green Wireless-Optical Broadband Access Networks (WOBAN)
  0 out of 5
  ₹4,500
  Add to cart
  
  Securing Cognitive Radio Networks against Primary User Emulation Attacks
  0 out of 5
  ₹4,500
  Add to cart
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  A Tracking System With High Accuracy Using Location Prediction And Dynamic Threshold
  ₹3,500
  
  Text Detection and Recognition in Imagery: A Survey
  ₹4,500
  
  SOLOR: Self-Optimizing WLANs with Legacy-Compatible Opportunistic Relays
  ₹4,500
  
  Pupil Dynamics for Iris Liveness Detection
  ₹3,500
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Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

₹4,500

Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss quantity

Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

₹4,500

Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss quantity