Cargando…
Development of the Self Optimising Kohonen Index Network (SKiNET) for Raman Spectroscopy Based Detection of Anatomical Eye Tissue
Raman spectroscopy shows promise as a tool for timely diagnostics via in-vivo spectroscopy of the eye, for a number of ophthalmic diseases. By measuring the inelastic scattering of light, Raman spectroscopy is able to reveal detailed chemical characteristics, but is an inherently weak effect resulti...
Autores principales: | Banbury, Carl, Mason, Richard, Styles, Iain, Eisenstein, Neil, Clancy, Michael, Belli, Antonio, Logan, Ann, Goldberg Oppenheimer, Pola |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6658481/ https://www.ncbi.nlm.nih.gov/pubmed/31346227 http://dx.doi.org/10.1038/s41598-019-47205-5 |
Ejemplares similares
-
SkiNet: A deep learning framework for skin lesion diagnosis with uncertainty estimation and explainability
por: Singh, Rajeev Kumar, et al.
Publicado: (2022) -
Spectroscopic detection of traumatic brain injury severity and biochemistry from the retina
por: Banbury, Carl, et al.
Publicado: (2020) -
Tuneable
Metamaterial-like Platforms for Surface-Enhanced
Raman Scattering via Three-Dimensional Block Co-polymer-Based Nanoarchitectures
por: Banbury, Carl, et al.
Publicado: (2019) -
Window into the mind: Advanced handheld spectroscopic eye-safe technology for point-of-care neurodiagnostic
por: Banbury, Carl, et al.
Publicado: (2023) -
Wind Data Mining by Kohonen Neural Networks
por: Fayos, José, et al.
Publicado: (2007)