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1 Ergebnisse
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Foveal Pit Morphology Characterization: A Quantitative Anal..:
Romero-Bascones, David
;
Barrenechea, Maitane
;
Ayala, Unai
GV/Ayudas a proyectos de investigación y desarrollo en salud 2020/2020333033/CAPV/Aplicación clínica de la inteligencia artificial sobre imágenes de OCT de retina para la clasificación precoz y monitorización de pacientes con enfermedad de Parkinson/OCT. , 2021
Link:
https://hdl.handle.net/20.500.11984/5310
RT Journal T1 <Title>Foveal Pit Morphology Characterization: A Quantitative Analysis of the Key Methodological Steps</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftmondragonuniv:oai:ebiltegia.mondragon.edu:20.500.11984_5310&Exemplar=1&LAN=DE A1 Romero-Bascones, David A1 Barrenechea, Maitane A1 Ayala, Unai PB MDPI YR 2021 K1 optical coherence tomography K1 retina K1 fovea K1 retinal imaging JF GV/Ayudas a proyectos de investigación y desarrollo en salud 2020/2020333033/CAPV/Aplicación clínica de la inteligencia artificial sobre imágenes de OCT de retina para la clasificación precoz y monitorización de pacientes con enfermedad de Parkinson/OCT LK http://dx.doi.org/https://hdl.handle.net/20.500.11984/5310 DO https://hdl.handle.net/20.500.11984/5310 SF ELIB - SuUB Bremen
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