Automatic segmentation of the retinal nerve fiber layer by means of mathematical morphology and deformable models in 2d optical coherence tomography imaging

HIGHLIGHTS

• who: Rafael Berenguer-Vidal et al. from the Departamento de Ciencias Politécnicas, Campus de los Jerónimos, Universidad Católica de Murcia UCAM have published the research: Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging, in the Journal: Sensors 2021, 21, 8027. of /2021/
• what: After this introduction, the following sections of this paper describe the proposed novel approach. The OCT images used in this work have a resolution of 768 × 496 pixels with a zscaling of 3.87 µm . . .
  

   

  

  If you want to have access to all the content you need to log in!

  Thanks :)

  Username or Email

  Password

  Remember me

  Lost your password?

  If you don't have an account, you can create one here.