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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Dades bibliogràfiques
Publicat a:Biomed Opt Express
Autors principals: 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
Idioma:Inglês
Publicat: Optical Society of America 2020
Matèries:
Article
Accés en línia: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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