A feature agnostic approach for glaucoma detection in OCT volumes

Optical coherence tomography (OCT) based measurements of retinal layer thickness, such as the retinal nerve fibre layer (RNFL) and the ganglion cell with inner plexiform layer (GCIPL) are commonly used for the diagnosis and monitoring of glaucoma. Previously, machine learning techniques have utilize...

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Veröffentlicht in:	arXiv.org 2019-10
Hauptverfasser:	Maetschke, Stefan, Antony, Bhavna, Ishikawa, Hiroshi, Wollstein, Gadi, Schuman, Joel S, Rahil Garnavi
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial intelligence Artificial neural networks Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Diagnosis Eye (anatomy) Glaucoma Head Image segmentation Machine learning Neural networks Optical Coherence Tomography Statistics - Machine Learning Thickness
Online-Zugang:	Volltext
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