Deep learning for quality assessment of optical coherence tomography angiography images

HIGHLIGHTS

• who: Rahul M. Dhodapkar from the DepartmentYale University have published the article: Deep learning for quality assessment of optical coherence tomography angiography images, in the Journal: Scientific Reports Scientific Reports
• what: For both low quality and high quality scenarios, the authors demonstrate excellent performance of deep convolutional neural_networks utilizing skip connections in the quality assessment of 8 u00d7 8 mm OCTA images of the superficial capillary plexus with AUCs of 0.97 and 0.99 for high and low quality models respectively. The study demonstrates that neural_networks with skip connections can be trained to achieve . . .
  

   

  

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