Accuracy of a deep convolutional neural network in detection of retinitis pigmentosa on ultrawide-field images

Lignende værker

• Deep-learning classifier with ultrawide-field fundus ophthalmoscopy for detecting branch retinal vein occlusion
  af: Nagasato, Daisuke, et al.
  Udgivet: (2019)
• Deep Neural Network-Based Method for Detecting Central Retinal Vein Occlusion Using Ultrawide-Field Fundus Ophthalmoscopy
  af: Nagasato, Daisuke, et al.
  Udgivet: (2018)
• Accuracy of deep learning, a machine-learning technology, using ultra–wide-field fundus ophthalmoscopy for detecting rhegmatogenous retinal detachment
  af: Ohsugi, Hideharu, et al.
  Udgivet: (2017)
• Accuracy of a deep convolutional neural network in the detection of myopic macular diseases using swept-source optical coherence tomography
  af: Sogawa, Takahiro, et al.
  Udgivet: (2020)
• Accuracy of deep learning, a machine learning technology, using ultra-wide-field fundus ophthalmoscopy for detecting idiopathic macular holes
  af: Nagasawa, Toshihiko, et al.
  Udgivet: (2018)