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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Publié dans:Biomed Opt Express
Auteurs principaux: 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.
Format: Artigo
Langue:Inglês
Publié: Optical Society of America 2020
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Article
Accès en ligne: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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