METHOD AND SYSTEM FOR CHOROID-SCLERAL SEGMENTATION USING DEEP LEARNING WITH A CHOROID-SCLERAL LAYER MODEL

METHOD AND SYSTEM FOR CHOROID-SCLERAL SEGMENTATION USING DEEP LEARNING WITH A CHOROID-SCLERAL LAYER MODEL

A System/Method/Device for segmenting the choroid-scleral layer from an optical coherent tomography (OCT) volume scan. The present system uses a deep learning machine model based on a neural network that include multiple convolution layers, but no deconvolution layers. Rather, the present neural net...

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Bibliographische Detailangaben
Hauptverfasser: Bagherinia, Homayoun, Omlor, Lars
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
DIAGNOSIS
HUMAN NECESSITIES
HYGIENE
IDENTIFICATION
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
MEDICAL OR VETERINARY SCIENCE
PHYSICS
SURGERY
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Beschreibung
Zusammenfassung:A System/Method/Device for segmenting the choroid-scleral layer from an optical coherent tomography (OCT) volume scan. The present system uses a deep learning machine model based on a neural network that include multiple convolution layers, but no deconvolution layers. Rather, the present neural network is based on a novel architecture based on the discrete cosine transform.