Automatic Segmentation of the Retinal Nerve Fiber Layer by Means of Mathematical Morphology and Deformable Models in 2D Optical Coherence Tomography Imaging.
Rafael Berenguer-VidalRafael Verdú MonederoJuan Morales-SánchezInmaculada Sellés-NavarroRocío del AmorGabriel GarcíaValery NaranjoPublished in: Sensors (2021)
Keyphrases
- optical coherence tomography
- mathematical morphology
- automatic segmentation
- deformable models
- image analysis
- imaging modalities
- medical image analysis
- medical images
- manual segmentation
- nerve fibers
- oct images
- automatically segmenting
- gray scale
- segmentation algorithm
- binary images
- retinal images
- image segmentation
- automated segmentation
- image processing
- object boundaries
- shape prior
- medical imaging
- ct data
- clinical applications
- cross sections
- edge detection
- level set method
- computer vision
- image guided
- image enhancement
- pattern recognition
- anatomical structures
- coronary artery
- ct images
- input image
- image data