Segmentation of Locally Varying Numbers of Outer Retinal Layers by a Model Selection Approach

Extraction of image-based biomarkers, such as the presence, visibility, or thickness of a certain layer, from 3-D optical coherence tomography data provides relevant clinical information. We present a method to simultaneously determine the number of visible layers in the outer retina and segment the...

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Veröffentlicht in:	IEEE transactions on medical imaging 2017-06, Vol.36 (6), p.1306-1315
Hauptverfasser:	Novosel, Jelena, Yzer, Suzanne, Vermeer, Koenraad A., van Vliet, Lucas J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Akaike information criteria Annotations attenuation coefficient Automation Bayesian information criteria Biomarkers Coherence Complexity Complexity theory Data models Deviation Diagnosis Diseases Extraction Eye (anatomy) Humans Image processing Image segmentation information complexity Maximum likelihood estimation model selection Monitoring Optical Coherence Tomography Reproducibility Reproducibility of Results Retina Retinitis Retinitis pigmentosa Thickness Tomography Tomography, Optical Coherence
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