Open source software for automatic detection of cone photoreceptors in adaptive optics ophthalmoscopy using convolutional neural networks

Ítems similars

• Automatic detection of cone photoreceptors in split detector adaptive optics scanning light ophthalmoscope images
  per: Cunefare, David, et al.
  Publicat: (2016)
• RAC-CNN: multimodal deep learning based automatic detection and classification of rod and cone photoreceptors in adaptive optics scanning light ophthalmoscope images
  per: Cunefare, David, et al.
  Publicat: (2019)
• Deep learning based detection of cone photoreceptors with multimodal adaptive optics scanning light ophthalmoscope images of achromatopsia
  per: Cunefare, David, et al.
  Publicat: (2018)
• Automatic cone photoreceptor segmentation using graph theory and dynamic programming
  per: Chiu, Stephanie J., et al.
  Publicat: (2013)
• Deep longitudinal transfer learning-based automatic segmentation of photoreceptor ellipsoid zone defects on optical coherence tomography images of macular telangiectasia type 2
  per: Loo, Jessica, et al.
  Publicat: (2018)