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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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書誌詳細
出版年:Biomed Opt Express
主要な著者: 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.
フォーマット: Artigo
言語:Inglês
出版事項: Optical Society of America 2020
主題:
オンライン・アクセス: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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