Towards label-free 3D segmentation of optical coherence tomography images of the optic nerve head using deep learning

Recently proposed deep learning (DL) algorithms for the segmentation of optical coherence tomography (OCT) images to quantify the morphological changes to the optic nerve head (ONH) tissues during glaucoma have limited clinical adoption due to their device specific nature and the difficulty in prepa...

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Detalhes bibliográficos
Publicado no:Biomed Opt Express
Main Authors: Devalla, Sripad Krishna, Pham, Tan Hung, Panda, Satish Kumar, Zhang, Liang, Subramanian, Giridhar, Swaminathan, Anirudh, Yun, Chin Zhi, Rajan, Mohan, Mohan, Sujatha, Krishnadas, Ramaswami, Senthil, Vijayalakshmi, De Leon, John Mark S., Tun, Tin A., Cheng, Ching-Yu, Schmetterer, Leopold, Perera, Shamira, Aung, Tin, Thiéry, Alexandre H., Girard, Michaël J. A.
Formato: Artigo
Idioma:Inglês
Publicado em: Optical Society of America 2020
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC7687952/
https://ncbi.nlm.nih.gov/pubmed/33282495
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1364/BOE.395934
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