Automatic Segmentation of Retinal Capillaries in Adaptive Optics Scanning Laser Ophthalmoscope Perfusion Images Using a Convolutional Neural Network | Zendy

Gwen Musial | Zendy; Hope M Queener | Zendy; Suman Adhikari | Zendy; Hanieh Mirhajianmoghadam | Zendy; Alexander Schill | Zendy; Nimesh B. Patel | Zendy; Jason Porter | Zendy

Open Access

Automatic Segmentation of Retinal Capillaries in Adaptive Optics Scanning Laser Ophthalmoscope Perfusion Images Using a Convolutional Neural Network

Author(s) -

Gwen Musial,

Hope M Queener,

Suman Adhikari,

Hanieh Mirhajianmoghadam,

Alexander Schill,

Nimesh B. Patel,

Jason Porter

Publication year - 2020

Publication title -

translational vision science and technology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.508

H-Index - 21

ISSN - 2164-2591

DOI - 10.1167/tvst.9.2.43

Subject(s) - artificial intelligence , segmentation , sørensen–dice coefficient , ground truth , convolutional neural network , computer science , computer vision , thresholding , pattern recognition (psychology) , adaptive optics , image segmentation , optics , physics , image (mathematics)

This automatic segmentation algorithm greatly increases the efficiency of quantifying AOSLO capillary perfusion images.

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