Deep learning based noise reduction method for automatic 3D segmentation of the anterior of lamina cribrosa in optical coherence tomography volumetric scans

A deep-learning (DL) based noise reduction algorithm, in combination with a vessel shadow compensation method and a three-dimensional (3D) segmentation technique, has been developed to achieve, to the authors best knowledge, the first automatic segmentation of the anterior surface of the lamina crib...

Descrición completa

Gardado en:
Detalles Bibliográficos
Publicado en:Biomed Opt Express
Main Authors: Mao, Zaixing, Miki, Atsuya, Mei, Song, Dong, Ying, Maruyama, Kazuichi, Kawasaki, Ryo, Usui, Shinichi, Matsushita, Kenji, Nishida, Kohji, Chan, Kinpui
Formato: Artigo
Idioma:Inglês
Publicado: Optical Society of America 2019
Assuntos:
Article
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC6865099/
https://ncbi.nlm.nih.gov/pubmed/31799050
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.10.005832
Tags: Engadir etiqueta
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!

Títulos similares