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Assessment of a Segmentation-Free Deep Learning Algorithm for Diagnosing Glaucoma From Optical Coherence Tomography Scans
IMPORTANCE: Conventional segmentation of the retinal nerve fiber layer (RNFL) is prone to errors that may affect the accuracy of spectral-domain optical coherence tomography (SD-OCT) scans in detecting glaucomatous damage. OBJECTIVE: To develop a segmentation-free deep learning (DL) algorithm for as...
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| Publicado no: | JAMA Ophthalmol |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Medical Association
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7042899/ https://ncbi.nlm.nih.gov/pubmed/32053142 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1001/jamaophthalmol.2019.5983 |
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